This Agriculture Technology company utilizes artificial intelligence to identify and develop novel agricultural compounds for crop protection and nutrition. By creating a pipeline of natural and synthetic products, it enhances nutrient use efficiency and pest control, reducing costs and time for farmers while promoting sustainable practices.
Funding
$9.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IPFounders
Product
Problem
The discovery and development of novel bioactive compounds for agriculture and food applications is a challenging, expensive, and high-risk process. Traditional methods are inefficient and have largely exhausted the known chemical space, struggling to meet the growing demand for sustainable compounds.
Solution
Agrematch offers an AI-powered predictive platform, Agresense™, that accelerates the discovery and development of novel bioactive compounds for the agriculture and food industries. By applying machine learning algorithms to a vast database of over 6 billion compounds, the platform identifies promising candidates with specific functionalities. Agresense™ predicts critical compound attributes early in the screening process, such as toxicity profiles, mode of action, environmental impact, and COGS, mitigating downstream risks and accelerating development. The platform's integrated validation process enables rapid progression from data analytics to lab validation, greenhouse testing, and field trials.
Target Audience
Agrematch primarily targets companies in the agriculture and food industries that require novel bioactive compounds for crop protection, crop nutrition, and other applications.
Features
- AI-driven predictive system for identifying novel bioactive compounds
- Proprietary database of over 6 billion compounds, expanding to 150 billion
- Prediction of compound attributes, including toxicity, mode of action, and environmental impact
- Integrated validation process from data analytics to field trials
- Identification of sustainable and natural compounds
- AI4AI (Artificial Intelligence for Active Ingredients) predictive system