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We are creating an AI based platform that can interlace biodiversity data with farm management data. Our platform will enable baselining of biodiversity and farming practices.
About
Our AI platform harmonises biodiversity data from any source or vendor and interlaces it with the farm management data. Combining the latest technology in remote sensing and AI with an open ecosystem of monitoring providers, our ML models leverage scalable biodiversity monitoring, to help farmers transition to sustainable agriculture. Aggregating biodiversity data across monitoring suppliers into our platform enables holistic insights that break across the silos of monitoring technologies and biological communities. It also enables reporting on nature compliant with the TNFD and Global Farm Metric. Leveraging lessons learned about observability in the tech industry, our data collection and integration approach is designed as an open vendor-neutral framework. This foundation makes our platform distinctive in three ways: It reduces the manual labour involved in collecting and measuring biodiversity across multiple technologies, ensures we aren’t bound to specific monitoring technologies, and enables us to train vendor-agnostic, yet specific biome aware, predictive machine learning for sustainable farming. These distinctive facets enable customers to reduce inputs confidently, knowing that our proprietary predictive ML will alert them in time to course-correct where necessary.
Key Benefits
- cost effective baselining of impacts on and state of ecosystem services - cost effective transition to sustainable agriculture - enable evidence of improvements on nature - aligned with TNFD and Global Farm Metric
Applications
Corporates with agricultural supply chains seeking to understand their impacts and dependencies on ecosystem services Farmers looking to derisk their transition to nature friendly practices and report to customers