We use satellite technology and AI algorithms to boost crop productivity, reduce environmental impact, and generate carbon credits, driving sustainable agriculture for a zero-emission future.
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Trusted by the leading Agriculture Manufacturers and Partners.
At Adian.ai, we leverage satellite technology o capture a wide range of agricultural data, transforming it into actionable insights that drive both productivity and sustainability.
We capture core agricultural data directly from satellites, including soil moisture, surface temperature, vegetation coverage, and a wide range of other entities. This rich data is the foundation of our analysis, providing essential insights into field conditions.
Using advanced algorithms, we transform raw satellite data into calculated indices like NDVI, EVI, Leaf Area Index (LAI), and many more. These indices are vital for enabling more informed decision-making and effective resource management.
Our AI algorithms go beyond traditional metrics, calculating essential nutrient levels in the soil, such as Nitrogen (N), Phosphorus (P), and Potassium (K). This helps farmers optimize fertilization, boost productivity, reduce waste, and improve overall sustainability.
At Adian.ai, we apply advanced algorithms to uncover hidden sustainability patterns within existing agricultural data. By analyzing satellite imagery, environmental metrics, and industry data, our AI identifies key relationships that drive resource-efficient and sustainable farming practices.
These insights allow us to prescribe actionable, data-driven solutions, helping farmers optimize inputs, reduce environmental impact, and contribute to long-term sustainability goals.
We have coded the logics that generate the insights, based on experts from the Ag input industry.
By collaborating with seasoned experts from the Agriculture sector, we've crafted logical pathways to answer pivotal industry questions. We believe that solutions should be rooted in profound industry knowledge because the Ag-input sector deserves a tailored approach
Next-best territory to launch a bioestimulant?
What's today's ideal price for our product in a specific region+distributor?
How can we speed up trials for a Lepidoptera Bioinsecticide Development?
Which regulatory path ensures the most impact for Biocontrol registration?
Programmed Rules
US$ Billion Processed
CP Distributors
Farmers
Discover tangible ways our platform has driven value in the agriculture AG Inputs domain through real-world applications.
Next-best action for a Distributor based on real-time data. Price-Quantity Optimization for a given product and distributor.
Biocontrol time-to-market reduction by looking for biosimilar trials connected by hidden patterns to the human eye.
Distributor’s At Risk Detection Detect and act proactively in either distributor’s or revenue at Risk situations, thanks to AI algorithms that understand the Agricultural Inputs industry
Leverage Adian's data-driven insights to identify regions with high pest pressure or unmet crop protection needs. Launch new products with tailored formulations and application guidelines in these specific areas to address local challenges effectively
Collaborate with Adian to analyze market trends and emerging regulatory requirements. Develop sustainable and environmentally friendly crop protection formulations that align with changing consumer preferences and regulatory standards
Implement Adian-driven pest monitoring solutions that combine data from satellite imagery, weather conditions, and field observations. Create real-time pest risk assessments, allowing farmers to make informed decisions about crop protection applications
Adian.ia has partnered with top industry experts to use their knowledge to generate added-value insights based on the logic of the industry. AI is a commodity without it.
Understanding Growers challenges is key to apply the use of AI in a way that understands our Segment and finds value in Agri data.
AI algorithms generate value when they are used taking into account the reality of the industry, such as the connection between Draught and Fungicide sales, for example.
Draught trends, Crop extension evolution, Grower productivity or price paid to Growers are examples of Industry data used to combine it with Manufacturer’s internal data. This segment-specific approach is the one that allows Adian.ai find powerful hidden patterns in data
Sales, Insights and commercial suggestions are specific to our industry. We have “Coded” the way of thinking of Ag Inputs industry sales leaders to generate High-impacts Insights