You're alive. Yeah, hi. Hi all, welcome to Hyperlegal Climate Action Accounting, SIG. So we are one of the, so we are the, we are one of the SIGs working to us in building a open source hyperlegal community in different, different domains. We have multiple SIGs like in financial services, like state finance, like healthcare, and this is one for the addressing the climate action initiatives. So for the today's agenda, if any new member then I think they can introduce and to anyone new, yeah, it's okay. Then, so in the, in the SIG we created a couple of working groups. So to, like there's one carbon accounting working group which generally assign other people working and even we have a one carbon accounting lab is a working model in production which anybody can use as a carbon accounting perspective. And then also SIG have an extended working group. So anybody want to interest and get involved in terms of defining the standards or following some standards for the climate action-related blockchain solutions. And then another SIG for research working group. So researching about the different climate tech solution using blockchain. And if any member want to announce, they can announce something and they can update their membership directory here if they would like to be get notified who are building what in the space. So I think we can go to our today's presentation which is carbon management, digital measurement reporting and verification. So today's guest speaker we have Suha and his team and Tracex founder Devastham. So they are a supply chain traceability especially in agriculture supply chain finance agriculture supply chain traceability and they working in reporting and measuring the carbon credit in the agriculture supply chain. So Tracex is based in India. They are working with different agriculture product companies and agriculture domain and using blockchain especially high-priced fabric technologies and they are in production since a couple of years. So they have a lot to say. So over to you Suha. Thanks Kamalish. You can share now. Okay. Good. Am I audible? Yeah, you are able. Okay. Can I get my screen? Hope my screen is up for most of you. Yeah. Great. Thanks Kamalish and Hyperligid Foundation and the Climate Action Group for providing us this opportunity to present today. We at Tracex we are a sustainability and decarbonization platform for agri and food value chains. I'm Suha's. I head the product at Tracex Technologies. I have with me Srivatsa who is sorry. No, that's okay. Maybe I'm not visible clearly but yeah, hi. Hello everyone and Kamalish and the entire Hyperligid Foundation thank you so much for giving us this opportunity. Very excited to present our work to all of you. Yeah, welcome. Awesome. Great. So let me start with the premise of what we are trying to build at Tracex Technologies. The entire offering is based on three pillars essentially. The bedrock or the foundation layer will be traceability. We'll get into the details of each of these pillars in a while. And then we started the journey of creating a transparent supply chain in the food and the agri value chains primarily because of extreme complexity in the whole value chain and lack of trust between the participants. Too many participants disparate located various stages adding value at different stages and to be able to seamlessly interact seamlessly share data was extremely complicated and in countries like India, South America, South East Asia the sector itself is extremely unorganized and hence lack of data digitization in the whole ecosystem. We took up this challenge of being able to bring the entire value chain entire complex supply chain into one mammoth network and that is our provision to be able to bring this into a larger audience to the entire community of agriculture and the farmers right from farmers, farmer producer organizations the different cooperatives and so on and so forth in the entire chain all the way up to the consumer. That's our vision to be able to bring everybody and the logical and while we were providing traceability as a solution, we worked with multiple customers and we realized there's a lot more that they're able to kind of use our platform to generate value to be able to derive a lot more insights and a lot more that they could do than just traceability and that's where we realized to the likes of Olam to the likes of Technosur, these are large companies working across the globe were able to realize a lot of their sustainability initiatives a lot of their sustainability programs that they were able to run or basis our product and it was a logical extension for us to be able to support them in the progress in that aspect and that's where we realized a lot of these use cases that we could cover for sustainability when I say sustainability it could be how can we improve farmer income how can we support gender equality how can we reduce child labor right so there are so many different aspects of sustainability that we covered as part of the platform and we could support all of these initiatives for most of our customers and soon we realized one of the major or the most important aspect of sustainability ended up being carbon and the greenhouse gas emission and how could we manage it and this has become the most talked about and most difficult kind of a subject for most companies everybody wants to be carbon neutral, carbon positive but there's very little information or there is so much of complexity to be able to understand the subject and be able to take necessary action so that's where we and we being in the space of food and agri and traceability we realized there is so much of data that we are able to capture there is so much of information across the supply chain that we are able to gather from various different sources right from the farmer till the entire the final produce being shipped to a consumer so we realized we had a lot of value that we could provide in terms of carbon emission accounting reduction and also offset so that's where we have now also starting to focus our platform to be able to support these initiatives for large organizations which want to account and also be able to reduce their carbon emissions I'll get to each of them in detail the way I'll structure the discussion is I'll talk about the use case then I'll talk about what we are offering as a solution and then we'll talk about some use cases or the real implementation of how we were able to achieve this with some of our customer case studies that's going to be the general flow of all the use cases now I'll start with first and most basic foundation element that is traceability this is the first pillar of our product why do we need traceability like I was talking about the supply chain in food and agribusiness are extremely complex right from the plantation it could be smallholder farming it could be group of farmers who are probably shipping their produce to aggregator and aggregator then sends it to a mill it could be an agent it gets exported to a different age country or it could be you know for a simple example like coffee it gets roasted it gets distributed it can either go to a restaurant it can go to a retail outlet where you buy a pack of coffee or it can get brewed in a coffee shop and you are sipping on your coffee so there are so many different players and this is mind you a very small subset of the supply chain it can even get complex than this there could be multiple distribution channels there could be multiple agents there could be quality certification agency there could be lab tests there are so many different players that can participate in this whole supply chain and each of them can be in a very different geographical region they could be you know the plantation could be in India somewhere in the western Ghats being sold to somewhere in you know Europe and the processing happens somewhere else and the final buyer could be at the start work in the US right so there are so many different participants and how do we want to do that and there is very little you know channels that they can communicate on single platform there are each of them have different abilities there are restrictions on the way they are able to use the applications they're able to share data there are no common platforms that can be that can bring everybody into the same network right and it's extremely difficult to comply with quality and food safety measures each country each organization each region has a different set of rules and regulations and it's it becomes difficult for smallholder farmers and especially you know unorganized sectors to be able to meet these requirements and hence once the digitization is not available once they're not able to comply to a lot of basic requirements it becomes a lot more difficult to be able to trace and identify the root of the produce right so this is the premise with which we start our journey and the need for traceability and one option or one solution that we are proposing or we are looking to provide to this entire problem is to be able to bring the entire value chain on one common platform right from the farmers it could even be the using farmers or it could be input supplying farmers right so there could be multiple again each of these levels can be broken down into multiple different personas multiple different players a very simplistic view is farmers are able to cultivate are able to produce a particular crop or a particular commodity that gets we are able to capture the cultivation factors we're able to capture the interventions that the farmer is able to be the land preparation the crop preparation the pesticides the insecticides the nutrition that goes into the farm and where is he doing this activity what is the ground practices that he's following we're able to capture that through various different sources of information it could be manual data capture it could be field officers deployed by organizations it could be IoT sensors it could be remote sensing information it could be a drone based data that we're able to get right and then that gets shipped to a producer who is actually procuring the produce from the farmer we're able to generate batches at that point then it gets either stored or it gets processed at the field level and then that gets transported there could be multiple levels of quality analysis that goes through MRL analysis procurement the quality of the produce right and then that gets shipped to a buyer who is in a different location it could be in the same country or it could be a different country it could be a importer from the from a different region right locations and time stamping of each of these movement of each group right there could be multiple logistic partner involved depending on the kind of produce some require cold storages we are able to capture the data from different IoT sensors to be able to see how were the produce maintained for a period of time right how fresh is your produce some of the use cases that we talk about are like milk right from the point of collection of milk from a dairy farmer till the consumption of the milk how old is the milk right so many of us don't even know how old is the milk that we are consuming and and these are things that we are able to capture in certain use cases right it becomes extremely important about the time time stamping the location what is the process that went right and at each stage we are able to capture at a very granular level the carbon emissions right right at the farm level what is the fertilizer that it went in what is the you know fuel consumption what is the electricity consumption what is the water consumption that we are able to do and this becomes the bedrock and this becomes the most critical aspects of carbon accounting because we are able to capture data at such granular levels at each point in the supply chain it makes us makes our solutions so much more accurate because most of you may be knowing carbon accounting mostly becomes an excise of assumption an estimation with data being provided you know on a very high level right but what we are able to provide is we are able to provide the most accurate at least most the most reliable kind of a data that you can base it on real information that we are capturing on the ground right so it adds Suha just a Manu here from Tracex Hi everybody and there is a question I think because you are talking about the accuracy of the data there is one question in the group they have asked how accurate data you are able to capture from the farmers in India there are couple of things that we are doing and probably we will talk more about it from a point of identifying the ground proofing itself using remote sensing data and so on and so forth but just before that in terms of let's say getting to there is a lot of process level controls where we are able to have a different level of controls where field officers are verifying the data that is being inputted by the farmers and there are also different process level checks in terms of let's say in terms of you know we know that if the managed farms have been provided with the inputs we know what is the remaining amount of pesticide so there is different kind of variation testing which we can use to understand if the farmer has applied that kind of pesticide right so again from a data accuracy standpoint I mean it is not let's say we are not claiming agriculture and farmer and everything there is no 100% data proof that we can quantify but of course we are eliminating a lot of manual errors if you really want to input the bad data into the system then I think as a from an intent perspective it is a very difficult thing to stop but from a process perspective from a verifying perspective we have been successful up to let's say 80-90% accuracy in terms of the data so I think that is why we might want to add so there is also a question on what data you capture from RS one is how accurate the farmer is capturing we can also cross verify them with lab reports once you upload a lab report we are able to read through the content of the lab report we are able to identify the chemicals that are available in the lab analysis so there are multiple ways to put checks and balances and the whole data validity itself of course if somebody wants to game the system we can definitely we can't really avoid that but I think we have enough checks and balances that can help avoid or reduce or flag off such errors a couple of points there is especially in emerging economies like India and similar is Africa, Southeast Asia and stuff like that it is largely a small holder ecosystem driven right and the fundamental problem there is always digitization of these applications at the farm level it's a very common problem that everyone faces therefore largely these digitization initiatives are orchestrated at the ground level through several institutions there could be agronomy advisors resource institutions to NGOs that work closely with regional farmers and so on and so forth so largely the data that is captured is from those that are actually that have vested interest in running the project I'm not saying running anything else so when I say that largely there is an attempt made to capture data that is as accurate as possible and there are also not just about capturing there is a level of verification checker that happens through random auditing and stuff like that to ensure that in the largest gimmick since data becomes more accurate that's one point and secondly to the extent possible wherever it allows us wherever the supply chain allows us to capture information through sensor data or it could be remote sensing data we've integrated with sensor we've integrated with let's say for example an irrigation sensor just to capture irrigation frequencies and irrigation quantity and irrigation date and time in an AWD project where the alternative wet and drying is a very key data point to capture or soil moisture for that through a remote sensing data all of that is possible there's an element of manual data capture as well as automated data capture which together makes it close to accurate we hope that answers your question though I don't fully understand what RS is RS is remote sensing what kind of you can touch upon that what kind of data we capture in the RS yeah from remote sensing there are multiple options one is the soil parameters it could be the micronutrients macronutrients vegetative index of the farm and the next level that we can do is crop analysis or crop health it could be specific to crops it could be the growth of the crop it could be the quality of the crop pest infestation it could be nutrition deficiency it could be multiple other parameters specific to the crop so basically you break it into two one is on the farm level and second is on the crop level there are also drone based data that we are able to capture through some of our integration partners which could be a lot more focused per farm it could be what is the age of the crop what is the application of fertilizer or what could be the level of soil moisture it is a lot more much higher resolution 2 by 2 kind of image that we are able to get from drones we are also able to capture data from CCTV cameras is there so there are so many different ways that we are able to get data apart from remote sensing itself remote sensing is slightly less accurate but it gives you a lot more data points but we can always double click with drone based LiDAR based imagery or CCTV based imagery and so on and so forth hope that answers your question or maybe you can address that later sure we will probably park the questions to the end or maybe we will do that we will take all the questions together towards the end so that we can get through the information that we want to disseminate today we will definitely take all the questions I think immediately the next is why blockchain when we talk about transparency trust I think blockchain kind of becomes synonymous we are able to bring we are able to use multi and like I said this is one solution it need not be the only solution for this problem but our approach or our vision is that we are able to bring so many different participants and we look at it as a network and it can only grow if for example Olam is able to bring their suppliers if they are able to bring their certification agency if they are able to bring their irrigation partner if they are able to bring their buyer on this network and that can grow many folds if that becomes a reality and if it becomes as huge as we expect it to become then the amount of data transfer and the decentralization the kind of real supply chain play with blockchain becomes so much more fabulous I mean whenever I imagine there is so much potential that we are able to see and that is the only reason I think we feel blockchain can play a tremendous part in this whole journey and largely if you see the whole the fundamental pieces to what we are building and that is exactly where we differ from others as well is to create democratic access to data through a connected supply chain so the whole idea is to connect the supply chain partners for example for a company like Nestle they should be very easily be able to manage the scope 3 emissions which are let's say emitted by a company called OLM in their supply chain but unless you connect the supply chains together it becomes very hard to holistically look at the data the transparency of the data that is precisely why we are building so the way we are going about our blockchain implementation itself there is a network that we have established we onboard we have a governing council that's been established largely run by us right now and as we onboard more and more customers we are slowly making some of our customers inclusive part of the governing council so that eventually they will play a very significant part in running the blockchain network itself and we onboard our customers as entities they go through KYC that we currently do and then once the KYC is done then we impanel them on our blockchain network we either create we create them as nodes depending on the license that they would have subscribed or we create a private channel or a dedicated channel for them and deploy the chain codes inside either the node or their own channel there is also a common channel where those participants that don't necessarily are paid users on the platform they go into all the paid users typically either go into a separate node or a separate channel and get to run their own smart contracts as well so we have by the way when they sign up with us we have our chain code that's already been deployed there and we have about 6 chain codes across the product to address all the functionality needs and all the chain codes are exposed as API as well so while Suhas was talking about the digitization in the earlier slides there is a combination of both the ability to digitize the data so that we can populate the ledger with it and also expose the ledger as an independent API so that those that already are sorted on the digitization can directly liberate our blockchain offering as a service to achieve traceability traceability for many different purposes that's largely how we have deployed our network right so what are we trying to offer as a solution we are able to provide end to end digitization when I say end to end digitization it could be with mobile application to capture data it could be integration with any existing platforms, IoT sensors devices right any source of information that can capture it could be file uploads, it could be reports that are provided in different formats soil report crop analysis report so many different data formats can be captured and consumed on the platform we are able to provide the same platform for every different stakeholder so that they are able to share the information across and we are able to provide a single platform so that they don't have to run different applications or we don't have to integrate with so many different applications to kind of add the data it becomes a single source of truth traceability across value chains and then seamless integration with existing digital infrastructure so this is our solution and how are we offering the solution there are different modules the foundational module which is for the farm management supply chain management and digitization of farm and agri-related data trace pro on the other side is once you have manufactured or you have produced a farm output how does that go through the next sequence of steps right, it could be manufacturing it could be packaging, it could be transportation processing at different levels right and that can also be captured it can be mixed with multiple batches it can be there are different ingredients that can go into the whole process and that each step you are able to capture the emissions right, if you are able if you are running a manufacturing unit what is the amount of energy that you are consuming what are the kind of emission costs due to either direct or indirect manufacturing process with the plastic consumption it could be so many other aspects that can capture in the trace pro module trace CO2 is our carbon accounting and DMRV solution where you are able to visualize and take actions on the emissions itself trace API is our API product where we are able to directly consume data from ERPs, the likes of SAP Microsoft POS devices like GoPro IoT devices like I think we have soil sensors we have remote sensing players who are providing us API data direct Sentinel based satellite imagery and so on and also the trace API itself is an offering from our site to participate on our blockchain network so like I said before all the six chain quotes that we have has been exposed as API costs typically the product data the product attributes you know serialization data and traceability data and so on and so forth all of that the ones that are required and the way we have designed it is also that we can cover diverse set of industry sectors to do this while original first version of our chain code was very specific to agriculture and food we I think about a year and a half ago before that we migrated to the then latest 2.3 version and then we rewrote all our chain code to be able to make it sector agnostic though we predominantly focus on food and agriculture but that's how we have architected our chain code like that right and the whole suit of product is like we are able to support multiple different industries it could be poultry, livestock, seafood agri which is our primary focus agri inputs it could be seeds it could be fertilizers dairy in fact very interesting news case we just came off a meeting today where we are also going outside of just food and agri it could be textile it could be I mean there are so many applications of the same product which has some kind of a footprint in the farm or the agri space right and the entire suit of products are the set of offering that we have talked to our underlying blockchain network which we call Tracex blockchain network all of that putting in data putting into the ledger seamless basis what are the benefits that some of our customers have seen are able to get from our product is reduced food wastage effective product recalls how quickly can I recall a bad batch of the chocolate or a bad batch of coffee which has got included in my supply right being able to measure and reduce the overall carbon footprint improve consumer engagement we also have an option where we are providing a QR code as an output of our product and when you scan the QR code it gives you the entire journey that the final product has taken I like take you through that some of the examples right to be able to improve customers need to see brands and some of a new age consumer products or you know a customer based need to see based companies are able to tell a story right they are able to generate a premium with that kind of a player there for a large enterprises we are able to help them achieve their sustainability goals we are able to help them run their sustainability programs right okay then of course compliance and regulations is what we can meet right some of the examples some of the use cases that we are seeing is for a pure traceability bean to cup kind of traceability we have technoser which is one of the largest one of the large coffee aggregators in India they are working with Aroku valley they are able to provide better market opportunities to tribal population growing coffee in the remotest Aroku valleys in Andhra right they are following some sustainable practices which is called zero budget natural farming they are able to support these initiatives through the use of our solution and they are able to give them you know premium in the market and they are able to bring multiple participants in the whole supply chain right if you look at this this is a classic example of a network we are able to onboard 1,500 farmers which is being worked along with seven different FBOs technoser working with three different coffee brands these coffee brands working with different roasters and each of them having a story to tell so that is the kind of network that is the kind of network we are looking at growing in future some of our customers different segments D2C enterprises export contract farmers government initiatives the next thing that we are looking at is a natural extension of traceability and I want to talk about how we are able to support some of our customers in their sustainability programs example is OLM which is basically a large exporter of agri-produced in this case they are performing something called as a sustainable production of residue free basmati rice under the SRP program they had specific SDGs to design their project and with the use of our product they are able to manage farmers they are able to digitize the entire farming practices they are able to provide a package of practice which they were able to track they were able to track the water consumption they were able to integrate with multiple different participants in the supply chain they were able to generate accurate results accurate reports that they were able to use for their sustainability reporting benefits that they were able to generate is reduction of water to up to 30% pesticide reduction of up to 85% and increasing farmer income by up to 12% these are staggering results that they were able to generate with just a near implementation thing so if you look at the challenge sustainable traceable and safe basmati rice basmati rice is one variety of rice that is exported to great extent from India and south east Asia they were able to train farmers on a certain package of practice that would help them reduce the amount of water usage they were able to reduce the amount of inputs that the farmers would spend money on they were able to help them track their calendar of that they were able to get effective yield from their farms and absolutely reduce the number of inputs as we speak in agriculture the only way to make it profitable is by reducing the amount of inputs that you can invest on and through the accurate package of practices that they were able to manage and perform and they were able to do the standard practices they were able to increase the yield by up to 10% so this helps their farmer side of the sustainability program then they were able to reduce water that helps and they were able to use alternate wet and dry practice propagation paddy is a water guzzling crop where the crop is always inundated with water across the season they were able to reduce the water consumption by up to 30% helping them reducing so much of methane and then finally the society in fact they were able to train women to capture data digitally right the field officers like somebody was saying how do you claim the data as accurate they were able to train women who are focused in capturing the accurate data they were able to give employment to women they were able to use safe disposal sites for pesticides container so they were able to help the entire society there are so many different partners that participated Tracex of course on the digitization Netafim was able to partner with us on the water saving technology IRC capacity building where in providing safe pesticide NRLM in providing the livelihood for the entire so there were so many different participants who joined in and were able to run the whole program I'll just skip through this I talked about it in detail then the final pillar and again the next level if you look at it from sustainability we move into carbon and carbon is one of the most talked terminology in Agri and what are we looking at when I talk about carbon rate we look at it in three use cases first essentially you need to understand as any company would want to understand what is their emissions even before I understand what is my emissions I can't really take any decision I can't really generate any insight so it becomes so much more basic or so much more important that I understand what is my emissions so we are able to provide some kind very granular like I talked about or touched upon earlier level of information to generate your carbon accounting next is once you know your carbon accounting now you have done your carbon accounting you know your emissions next step for you to do is how can I reduce my carbon emissions it could be various different practices I can change certain process that I'm following in my manufacturing I could do certain changes to my packaging right the other way is can I do inserting can I do certain changes in my farm because I have a direct footprint into Agri raw materials can I do changes in the way I'm preparing products right how can I insert carbon emission can I do regenerative agriculture and that's where we can help companies right and the final step once you have identified your emissions you have tried reducing to the maximum extent that you can the final option is for you to be able to invest in carbon to be able to fund to be able to support initiatives which are working in carbon credit generation carbon farming right so how can you support the most credible carbon crediting or carbon offsetting programs right how can you monitor and verify this project so these are the three use cases that we look at when we look at carbon as a story let me get into one each of them one by one right first why do we need to do carbon accounting right emissions in the agriculture and food sector constitute to more than 25% of the entire GHC emission which means it's the largest segment which is part of the global emissions right primarily the land use the crop production the livestock that is on the farm and the supply chain it could be the transportation it could be the manufacturing it could be the processing at different stages these are the predominant contributors to the global emissions in the food and agri space and the challenge with emissions is that there is very little accuracy in measuring the baseline what was my original emission what is it that I am looking at today right so it becomes so much more difficult for us to base our emissions against right so base lining is one of the most important because all other calculations subsequently is based on a particular baseline right so to be able to accurately measure your baseline scope three emissions because farm and farm activities are the most complex to be able to capture right due to the lack of digitization due to the lack of awareness at the farm level so it becomes so much more critical that you are able to get that data in the most accurate manner and finally offset programs fail to meet the standards set by where our gold right this becomes so much more difficult for them also to verify the claims by the carbon products so these are the current challenges that we are looking at let me play a small video of how we are looking at carbon accounting and helping large organizations 10 billion by 2050 exerting immense pressure on the agri sector to feed the world on the other hand the food industry is also making a shift towards net zero to ensure minimized energy consumption committing to climate health for sustainable future at Tracex we are building a one stop solution to food security and net zero by providing a blockchain powered traceability and decarbonization platform trace your crop and track your emissions all on one platform as a sustainability lead on a company the biggest challenge is measuring carbon emissions accurately and identifying the carbon hotspots on the organization dashboard we can access an overview information with top emissions by geography and product proportions of scope type emissions of the company and the breakdown of scope 3 emissions with reference to base year by key emission categories for the organization on the selected product dashboard view the overall product emissions across pre and post harvest processes and scope 3 emissions by major product ingredients with the help of filters the same data can be viewed across different geographies and countries which show farms of facility wise emissions once we select the facility of farm we can dive deeper into emissions and offset information of the processes only for the selected facility of farm here comes the best part if you already have the data spread across your systems farm management, ERP IoT sensors and digital infrastructure tracex seamlessly integrates and provides emissions as per the global emission factors or you could use our offline first multi-lingual application to enable data ingestion and capture granular level farm data import data and records of farmers and production practice under carbon add farms or facilities related information such as water and soil source you can capture emissions from crop activities right from planting stage till harvest with respect to machinery of farm implements crop inputs such as fertilizers pesticides it also allows you to capture emissions from crop residues and energy usage for each of the farm activities providing complete farm management and accurate carbon accounting we also align our product to measure the SDGs and help you with seamlessly reporting of your sustainability goals and carbon emissions let's together build a sustainable low carbon and connected food supply chain with transparency and credibility tracex right so like I said that is our offering for carbon accounting and like I said we have these applications already built and were able to capture data from a variety of sources this is just I'm just running you through the entire application screens where we are able to capture so many different parameters at the most granular level to be able to arrive at the carbon emissions right and not just that we are also able to provide ways for you to capture the sustainability development goals right and we have a pretty accurate dashboarding that will be able to pinpoint your hotspot sense interleaved down to individual ingredients and so on next opportunity for us once done the accounting is to be able to look at how can we inset how can we support organizations and this is something that they have been doing with Nestle along with Rainforest Alliance where we are able to work with Nestle they are looking to see if they can reduce or they can do regenerative agriculture to be able to they are not generating credits but they are looking at helping regions in south of India where they are able to convert barren land into productive agriculture lands right so they are able to perform these activities run them through the entire package of practice convert a lot of these farmers into farms into healthy arable lands right and that's a trend that we have seen amongst very large portraits right so the likes of Nestle and Volums and Tatas and so on and so forth where they do have access to farm lands either of their own or they lease the lands over an extended period of time to run their regenerative agriculture initiatives and that's where we have fairly evolved product as well right and this is exactly what they wanted to do they were not having enough data points to track their progress they were not able to understand whether they were able to follow the practices that they the management kind of entailed to be able to configure parameters to define the base time tracking the POP insights from the data so these are some of the things that Nestle has been able to run and they are able to get reports so that they are able to publish in their sustainability programs right this is our next use case that we have been able to successfully support and the final use case is carbon offsets I think this is a very debatable or one of the most you know discussed aspects of carbon and carbon emission right where carbon farming is taken up where investors are funding programs to be able to change a certain practice to be able to you know sequester carbon that is traded as carbon credits and that you know can be purchased or can be invested in by companies which are unable to reduce their carbon emissions directly right but I think this is one of the opportunities also right to be able to see it's not a lot of science and we are able to be able to provide a lot more authenticity to be able to provide a lot of credibility so that investors are you know having a lot more clarity and what are the projects actually doing are they really doing what they are claiming and is this really impacting the way it is expected to right so that's where I think monitoring and verification of these projects becomes extremely critical and to be able to monitor and verify you would need a lot of data points it could be manual data capture at the ground level because certain data points cannot be captured in any other way you need to capture it you need to provide evidences for each of the activity and that can be cross reference or cross verified with ground proofing you know technologies it could be LiDAR imaging it could be satellite imaging remote sensing right so that's so we try to see the whole carbon offset as a use case right to be able to help project developers to be able to help carbon farming communities to accurately monitor and be able to help the verifying agencies validation agencies with a lot more accurate auditable data and it also you know discourages the verification sorry the project developers if they get turned into a lot of delays in getting their carbon credits audited and you know carbon credits sold so the more accurate data that we are able to help the MRV or the project developers the faster it becomes for them to be able to realize value from the projects right carbon sequestration projects are extremely time consuming and human error prone so if you are able to bring in technology if you are able to bring in interventions where we are reducing the manual data or being able to verify the manual data with the third party or a different technology then it makes it lot more faster in terms of verifying the data project certification process is extremely complex and it requires a lot of hand holding even for project developers so we are able to provide them a seamless project management tool so that they know what is the next step that they need to do what are the data points that they need to capture so that project developers can they are too in the whole project life cycle right and the whole market or the whole voluntary carbon market is always plagued with trust issues and transparency problem and if you are able to bring the whole data on a decentralized platform and as and nothing can get as transparent as what we are looking at bringing all the participants on the same network and being able to provide each of them access to the data I think that kind of elevates the whole trust issue that's our idea at least to be able to bring in to this market yeah just one point I think just to add on to the NDMR we said of things because I mean I think it's a proposal from the standards like Vara and Gold to be able to collect data across the platform so that verification can be more continuous and more in real time right there have been a lot of when it comes to offset it is seen with a different light today because of a lot of greenwashing because of double accounting a lot of these things and see offsetting as such is not a bad idea and I mean there will be a lot of people here who are climate enthusiasts who understand that okay we can't reach net zero just by reduction we need very ethical offsetting the right offsetting that could actually give more into the agriculture as well more into region ag and sustainable and so on so forth that we can track and all of these data including Vara coming on one platform that's a vision that we are carrying and we have made some efforts in terms of drafting proposals to Vara for co-creation and pilot opportunities so I think hopefully Vara or Gold standard will be able to pilot some of these projects and I think so has also talked a little bit more on the use cases in the future yeah sure thanks right so the benefits of course like I said a lot more improved base lining and monitoring of the nature systems accuracy in the measurements right at reduced costs being able to integrate with a lot of different systems and faster validation of course means faster realization of credits and helps translate that into you know farm income in various different ways and transparency of course helps in a lot more credibility and if there is a lot more credibility the credits also become you know a lot more in demand and so on and so forth so there are different projects and that can help the whole market and one of the examples is VNV advisory which is one of our customers who are using our platform to you know perform their AWD when I say AWD it's one of the agriculture based carbon farming activity where they are reducing the water consumption and hence in in turn reducing the carbon emissions and increasing the carbon sequestration of the land right so the problem is they are working with extremely small farmers and they are working with close to 2 million farmers in India in one project and capturing data accurately in real time becomes extremely difficult and they were running a pen and paper based system so there was extremely complex and challenges that they were not able to meet the requirements of the certifying agency they were not able to show data in real time and turning and that become a logistical nightmare for them they were not able to generate insights, they were not able to take decisions and they were not able to meet their goal now with that solution they were able to accurately map polygons they were able to eliminate double accounting they were able to manage practice they were able to enable the data verification on a platform they were able to generate reports right out of the system to be able to submit to the validation verification agencies and there was so much more ease with which they were able to come and we got a lot of and with just they were able to work with the verification agency for faster credit issues so this is a real use case that we were able to help with some of the MRV use cases with some of the project with this I think I will come to the end of our presentation one last topic that I wanted to talk about is what are the future scope for us primarily measuring the intangibles that we are looking at I mean these are things that we are thinking of these are things that we think can be achieved with our product as a natural extension how can we bring in some element of trust how can we measure trust how can we measure impact because companies like Nestle, company like Olam they want to run their sustainability programs they want to see the impact on the ground there are investment communities that could be Walmart foundations they are looking at helping these they want to measure the impact can we measure impact for them is there a way we can give them some way to see that the investment that they are doing is actually getting converted into real action there are a lot of fintech opportunities for us where we are looking at value chain financing there are different value chain participants it could be right from the farmer then farmer producer organizations aggregators money agents and so on and so forth can we look at different participants being funded through the value chain can we look at fair pay in the carbon credit are we able to establish for a fact that the farmer who is actually doing the hard work of changing the practice removing the moving away from say traditional firewood to a different source of fuel there are so many things that the farmer is doing on the ground but is he or she getting the fair pay that they deserve for the change in practice that they are performing can we bring in transparency in the climate funds usage somebody is claiming that they are changing region doing farm changes they are planting so many trees are they actually is the fund that is being invested in being used for what it is being said and of course finally can we generate tokens out of the whole system through the data that we are able to can we create credits for the carbon can we generate tokens for the carbon credits and see if we can work with carbon exchange so these are some of the opportunities that are ahead of us and we are definitely cognizant of the fact that these are very very interesting things for us in the future with that said I just want to leave you all with a small experiment that we have done and this is an output of the real work that we have done with our customer which is Technoserve they are able to reduce low carbon coffee and this is the way we are providing value to them a normal coffee that you drink right and the average carbon emission for a kg of coffee is about 15.3 kg of carbon dioxide right sorry so if you can share my other so yeah so any question from anyone I think I think there are some questions I have answered them along the way on chat but we will also answer some of the elaborate responses are not responded in the chat but we will talk through that between I think yeah so we just the idea was Suhas was about to share the QR code that Suhas was sharing was on a packet of coffee that you see here right so this packet of coffee we launched it as a low carbon coffee in an event which happened with the Walmart Foundation and Technoserve and all of you feel free to scan the QR code it's a static QR code nonetheless but the idea of this the experiment or the idea of was to show how we can compute emissions at different stages like the way what Suhas is showing right starting from the product information on the next slide and it can be we have just given the names creative names that we have come up with the processes that we have followed and right from starting about all of these ethically so low carbon the farmer when it was built and to the place where the farm was this is just a UI representation of how one could view carbon emissions right so at what what was the emission during harvest and what was the emission during the curing it could be a shift into a curing facility then what was halting and drying emissions all the way to the emission so what we call the cradle to gate coffee we are not computing what happens once the coffee is sold what we are looking at the cradle to gate emissions and this is what we have computed and there were a lot of questions behind the science part of it I think we will take it up I think Abhishek thank you for being such an interactive audience and a lot of other people also we have had a lot of very very interesting questions which I am just waiting to answer some of these to an extent what we can just a disclaimer here to everybody we are all technology people we love building solutions we are learning sustainability we are learning climate from a lot of enthusiastic people like you guys so I think every day is learning every day is the new opportunity for us to understand more so we kind of rely on our partners our institutions our people like say for example like the way Shiva talked about Nestle where we had rainforest lines guiding us all the way as to what should be the baseline for on a region like project what should we consider in terms of water biodiversity or species so some of these things I mean in other aspect it might be KPMG in other aspect it might be some other company which is actually helping us so just taking one question at a time now in terms of the remote sensing right so there have been various satellite partners that we have been working with some of them have had 90% accuracy with respect to the micro chemical constitution of the soil data which is of course proofread by or verified by a soil report so the way we see this Abhishek again as from a point of view let's say if a project involves intervention of a soil report let's say 10 times in the project now can we replace 10 times and do it 4 times and then 6 times can we get in the satellite data now here it is not about the accuracy of the satellite data but satellite data is good enough to give you a directional input not exactly the data on the card but I mean the technology is improving today or tomorrow I think the central data and the data mining on some of these things will become much more clearer where we will have play with respect to the data itself so camera honestly we have done some I'm sorry I'm not sure if the question was on the accuracy of the remote sensing data is it? No the question was about the micro nutrient micro nutrient from the RS being collected from remote sensing which really like to say it is NPK which most of the evolved satellites will give you NDVI, RBI soil moisture such data points are the ones that are derived from the satellite data. Even I think microchemicals we've been able to successfully get with respect to some of the satellite partners so let's say the micro organism activity the species level data which are also very important from a regional point so we are looking at so the model that we have built our application again carbon might be the people story that people are talking about but when it comes to the actual region agriculture or sustainable agriculture it is about people carbon and biodiversity so we are building an application to support some of these things and of course every time we get on a new client or a new pilot project that we are trying to do a lot of these things gets uncovered in terms of the attributes that we want to how can we measure we are also innovating with a lot of these sensors and technologies and so on and so forth this is a very very important and a nice question very tricky question soil carbon sequestration from an airable land in India so there was an article which came out which said you cannot capture soil carbon in an airable land once the you do like a blowing or tilling of the land you lose the soil carbon I mean it is 100% true and there is a lot of I mean a lot of other ways people are still working on let's say there is a technology called as carbon lens which is taking into consideration several other parameters to determine the flux between the baseline of the soil to the actual sequestration that has happened right there are other parameters in terms of the package of practice variation let's say it need not be from a soil carbon calculation so let's say you are doing the package of practice where you are not managing the residue well maybe you are burning the residue the package of practice can be changed where the equivalent emission reduction as such could be calculated as a sequestration of carbon and an equivalent carbon credit could be issued so there are different models that people are evolving again soil carbon is still a topic in terms of whether we lose it all whether we have it all so there are a lot of other things like biomass the package of practices and there are people who are also talking about air capture of carbon I mean there are some of these things which is very new to us I mean of course we will be able to learn more along the way but I think what we are trying to understand and do as per the methodologies that for carbon accounting it is DHE guidance that we have been using let's say the standards like IPCC, ISO 140642 based on different locations it can be eco-inventable some of these standards where we can configure our products so the beauty of the product is we get the data in and once there has to be an output it can be configured to different standards and systems so we are solving the problem on the you know I mean the data collection itself so that there is no approximation but I mean there is still a debate that can happen on whether these standards are accurate right so whether these libraries, third party libraries can get better, whether the complaints can get better so this is something of work in progress we should look at carbon accounting like financial accounting when it started so it is going to evolve and we are trying to put our first wheel into some of these things the other question I think how many data points are captured on a DMRV for carbon accounting this question is from Ammai Padma, thank you for this question from Farmer and which are those so for example DMRV as a tool right so DMRV it is just a tool from let's say different carbon projects or nature-based solutions that so has just walked us through it can be on AWD, alternate patent drying, it can be on region ag, it can be on forestry and so on so forth and each methodology already prescribes a certain way of base-lining data and it also talks about certain way of monitoring and reporting of these data as per standards let's say for example we take a vera standard and we go to a region ag project which says VM0042 and there is a particular methodology and a complete flow right so what we do essentially is right from the pre-PDD phase right so from a point of view of what happened from the data collection before base-lining to the point after PDD, publishing the PDD as a draft then monitoring that and reviewing it and getting listed on vera platform all the weight in the generation of carbon credits I mean we are trying to provide this the entire tool of course there are certain things today which might be manually captured something need to be automated in the future that's where we are working on in some of these technologies or remote sensing wherever applicable right so sometimes what happens the commercial aspect also have to be considered in terms of you know techifying all of the entire carbon credit system right so somebody has to support that premiumness so that is also one of the debate that a lot of these carbon product players are having with the standard saying that yes we can give you the most accurate data to give you the sensors but I mean are we going to get a premium so some of these things will enable more technology interventions into the product then there's a comment from Abhishek thanks Abhishek for the feedback on the product looking cool we need your feedback again the science behind some of these things is the basic product that we are building the application that you saw we are building the best MRV system for agriculture right so yes Kirthi just give me a second let me complete this so what we are trying to do is if we have the best MRV where we can automate some of these data capture or reduce some of these data capture we can provide ground proofing on the data that's being collected and provide analytics and reporting so that people can take action on right so if they can do some of these areas better we will be a better MRV for carbon credits we can be a better MRV for sustainability so on so forth business model pricing system it is currently based on a number of farmers number of acres number of users and a combination of those in terms of what we are trying to do the pricing we have an implementation cost and we have a subscription cost that we are looking at but we are we are intending to evolve as per the understanding so we are not tying anything to carbon credits right so we are neither we want to be a democratic tool where we want to be the tool maker right so we want to get into either carbon farming or carbon trading that's where we have become more relevant to all of these audience right so yes alternate between trying yeah what your system measure in AWD AWD so basically again it is as per the methodology BM0042 unfortunately it is cancelled and there is another methodology similar on the gold standard so what is our measure here is we are monitoring the aeration cycles which in fact goes down to the irrigation cycles or the dry moist and irrigated cycles of the farmland which eventually gives single aeration multiple aeration leading to carbon credit calculations and all of these things are not something that we are suggesting it is already the standards that have been developed we are enabling for the players to work as per the standards that have been developed or to be capable of collecting the data as per the standards right I think some of the questions I think Shiva says already answered Kirti over to you I think you can unmute yourself probably we were towards the end of the questions yeah okay brilliant so thanks Manu thanks Suhas for that very interesting presentation it has been brilliant very very cool platform so a couple of questions here is there a digital playground where people can you know look at it experience the platform for themselves and the second question is is the data only contained at the moment within the system does your business model also allow for other market participants to utilize some of your data sets is my question so I'll stop here Shiva sir you want to go ahead creating the playground is something that we were discussing just today in our management meeting as to how do we enable a playground for our customers or to be customers to be able to experience it yeah we will have one very shortly currently we don't because we do believe it needs a bit of hand holding for people to adopt and start using it creating a model within the next few weeks where they would be able to definitely give it a try and coming to the second question sorry I missed my what was the second question there the second question was more you know having access to some of the data sets yeah while we capture a lot of data sets today we are also very cognizant about how do our customers want what kind of privacy do our customers want on the data sets that are covered by default we don't allow their data sets to be shared without their permission but with their permission for the larger group of the network definitely it's available as a tech layer it's available for the access but with with the permission of our customers we also are very careful about what we store on in terms of the PII information and so on and so forth we've just gone through an audit for our DDPR SOC2 and ISO audit as well so we as a platform we are but with the consent of the original data just to add to one point maybe we might not be able to share the data sets as particular to the project of a prospect or a customer right but I think we are definitely looking at because there will be a lot of data on the ground today or tomorrow I think we are going to draw a lot of these insights into how can we make the system more robust right we can give analysis in terms of let's say I mean it's something as good as a Swiggy or a delivery partner saying what was your favorite food I think probably down the line if we have many projects running on the system which we can say where are the high quality credits coming from right so some of these insights could be valuable in making business decisions at a different scale and different lens right so the data sets can be viewed in a different lens but of course I mean the private data which is about the customer the farmer what they are trying to do in respect to their field I think we want to keep that very private to the customer and that is the expectation as well when we onboard some of these people I think that makes a lot of sense at the moment just one follow up question sorry I don't have time so is that something that would facilitate as a platform developer today to say that if someone was interested in a specific project to understand a lot more about the project and utilize some of its data will you be the person or will your team be the people to facilitate key relationships to establish some sort of connection with the people who are trying to maintain these projects or is it completely unknown at the moment I think this is a very important question that I think we have been contemplating to be able to let's say for example to make the discovery right so what we are trying to say here is let's say I come as a Nestle onto a platform onto a network I have already reduced my emissions but I also have a player like me and you on our platform which is doing a carbon project can I do the connection can I be that it makes absolute sense for us to do it right away but it's a it's a more of an incidental activity that's happening where we are onboarding enterprise on one end where we are onboarding one under carbon players on another and then of course if everybody can benefit like the techno service case where a coffee can be sold a carbon grid can also be sold right so whether we have a business model in place for that can I be that connection for a it makes absolute sense for us to do it right I think it is it's more of an incident can you go on mute if you don't mind we are onboarding enterprise on one end yeah somehow I was able to hear my own answer so I mean we have been talking about carbon a lot I think now I thought I am hearing my own ears now coming back to Keith's question so the idea is to be definitely able to facilitate that so that is the network model that we are building on whether it is coffee or carbon the beauty of everything happening on one network you measure you reduce and you offset your entire net zero journey is on one secure decentralized immutable ledger which is a great story for any player to take to their sustainability report or to do it I mean it's not very far-fetched I think it's about building the initial mass and momentum on onboarding people on either side and facilitate some of these transactions and I think of some very very efficient business models to do that okay that sounds really exciting keen to learn more and see where we can establish some synergies on this point but I will reach out separately to kind of discuss this further if you are going in that direction but thanks for answering my questions I think it's been really useful and also just as for the larger community we definitely are seeking some inputs on tokenization of credits especially being on a private blockchain like Hyperledger we are continuously trying to understand how do we go about doing it or do we eventually have to build a multi-chain support we have to do it on a public chain when a lot of the authenticity traceability data could always exist on a private chain but eventually for the fact that there is a better tokenization opportunities on the public chain so we are a bit in the exploratory mode there we would love to hear, we would love to seek input from the community if someone has done that already or maybe a different use case but still work on something similar we would love to sort of catch up and understand and share the knowledge mutually with all of you so one more I had kind of a wish list I think along with me and Shivatsa I mean Shivatsa put a wish list on the technology I have a wish list on two things one is of course I mean as we said we are not scientific people we do not have sufficient knowledge on the and we are growing and we are building but I mean any of your community or your closed connected ones we are happy to get them on an advisory panel to understand and develop this product better some of the nuances on the scientific side of things it might be on the SPTI and so on and so forth we would be happy to understand and other second on the wish list is in terms of let's say because we have been doing some amazing work the product the blockchain and everything can definitely prove itself once we have more and more participants on the network I think if you have people who are trying to create something like this whether on the carbon accounting side or whether on the MRB side of things please feel free to connect to us reach out to us we will try to be as helpful and nimble and learn with them and co-create and collaborate with them right so this is this is something that we want to give it to the community and to the climate change needs to be able to create something more robust I think we need lot of lot of support on all ends I think for the evening I think with that we can read that up right So Kamlesh thank you so much for organizing this you as always you've been a great supporter of ours and we appreciate all the work that you're doing as part of the community wonderful to be presenting here and thanks again for the opportunity and thanks for all the participation and would love to be connected with the network would also sort of explore how could we be members in the climate action group and then see if we can continue to contribute and learn from other contributions I think I think this particular system built on high palliative fabric that we didn't mention in the presentation Sorry we asked for all the community but I think this is completely built on high palliative fabric Yes exactly Thank you Thank you We are on 2.3 version right now so migrating quickly very soon but we are on high palliative fabric Thank you Thank you Thanks everyone Bye


I wonder what these are for me. So, somehow, it kills a little bit. It tricks us up down. It's a body that kills a little bit on the work. It activates the work.  It's out of my hand. That's the material that comes up in the rescue. And we're cuddling out here, putting it in your bucket. So if you want to do it, you should take your bucket. Put it on a third or a half in there. Step up to the screen. We have been right to work here. As soon as I start by, kind of, putting it all away. But the first 10 or 20 screens are the ones you want to take your time with. There's no limit. So many people have been screaming for weeks or months or years. Don't try to keep on going. Set your own pace. And however long it takes, it takes. And then right here, systematically work it.


Today I have the pleasure of speaking with Chris Dobbin of NOVA Leap Health Corps. How are you today, Chris? Good, Tracy. Thanks very much. You've just basically had double digit growth again for your fifth consecutive quarter. Chris, can you tell me how you're managing to achieve this in these current market conditions? Sure. Well, I guess it starts with the industry that we're in. Obviously, we're a home care services company. The industry itself has been one of the fastest-growing industries in Canada and the US for the last few years, and really it's based on demographics. It should continue to be so. I think as a management team, we've been fairly good at identifying targets that are attracted to us. First, we tend to go into rural or secondary markets in the US, primarily in New England, and we've been able to find good quality companies run by good management teams, and we've had a lot of success in acquiring these companies and integrating them and bringing them together. So, it's really for those reasons that we've been able to have some good success over the course of the last 12-14 months. Of course, we've noticed over the last 14 quarters, I believe it's seven acquisitions that you've done. Can you tell me a little bit more about how you've managed to do so many acquisitions so seamlessly, Chris? Since last September, so September 2017, we've been fairly active on the acquisition front. So in September, we went to Rhode Island, we purchased a company called All About Home Care. In October, we entered into Vermont in New Hampshire. This past February, we made an acquisition in Massachusetts, made another acquisition in Massachusetts in April, acquired a company in Halifax in June, and then have made two more acquisitions since then, one at the end of September, again in Massachusetts, and then one mid-October in New Hampshire. Nova Leap has consecutively been not only showing that they have revenue making acquisitions. I mean, obviously you have a competitive advantage or two. Can you tell us more about this? Well, two things. We look at it from a pure acquisition strategy. I think going into the secondary markets or more rural areas has been attractive for us. So there are certainly areas that have less competition, great caregivers, great referral sources, down-to-earth people, it's just areas that we really like. From what we're in at the operational level, our focus really is on dementia care. And so just over 60% of our client base would have some form of dementia. And so that's really the niche market for us, where we're focused on helping those folks that have dementia. We have a specific training program that we're rolling out in Canada and the U.S. that's dementia-related, and that's our strategy going forward as I think about growing this company and providing great service to the areas that we're in now. Nova Leap has a number of competitive advantages, and I think one thing that I would love our audience to notice is not to assume that your acquisitions are all focused on Canada. In fact, most of them seem to be in the United States. Yeah, that's true. Even though we're trading on venture exchange and we're a Canadian-based company with our head office located in Halifax, the majority of our acquisitions have been made in the U.S. And so we're now in Vermont, New Hampshire, Rhode Island, and Massachusetts. We do have an operation in Halifax, but certainly the majority of our revenue and the majority of our company resides in the U.S. With all of your recent revenue growth and, of course, your concurrent and regular acquisition plays that you have, Chris, can you tell us a little bit more about your most recent news release and what checkpoints you may currently have in selecting acquisition targets? Yeah, so I think similar to that acquisition has been the way we've looked at most of the companies. One, they tend to have a 10- to 15-year-old history, and similar to this company, they're historically profitable. They have a great caregiver base, so our folks that are out and providing service in people's homes, they have a good operation team, so within an office, generally there's a scheduler, an office manager, maybe a nurse, and so it just sort of tick the boxes for all of the things that we look for. In addition, it was located in Amherst, New Hampshire. We already have a location in Lebanon, Hanover, and also provide service up in the Littleston, New Hampshire area, and so for us, it was really a tuck-in acquisition because we rebranded it as part of our Armistead Senior Care brand, which is based in South Burlington, Vermont. So location and really staff was what was important to us, and so that's why we did that deal. So for all of us looking at Noveli that are undoubtedly going, hey, how did we miss this one that's currently on the board, can you tell us what we should anticipate in our upcoming next quarter or two? Well, we just closed two transactions. One was on September the 28th, and so really that was, you know, had sort of two days left in Q3, and that business was doing, you know, north of $3 million U.S., and then we also had a smaller transaction you're referring to, which was doing, you know, roughly $1 million U.S. a year of revenue. That closed in October, so again in Q4. So, you know, we've had sort of two virtually Q4 closings, and so, you know, one would expect that as a result of that, you should continue to see some fairly strong growth for Q4. Well, Chris, it was always a pleasure speaking with you. Thank you so much for joining us today and giving us an update on Noveli health. I appreciate your time. Thanks, Tracy.