Entele builds AI models that speed up research in crop protection chemicals. We work in three areas: molecule discovery (finding new candidate molecules from a target property profile), constraint-based retrosynthesis (planning synthesis routes that meet cost, raw-material availability, and non-infringement constraints), and formulation design (taking an active ingredient to a CIPAC-valid formulation in a guided process). Founded by Deepanshu Pandey (CEO) and Aryan (CTO), based in India.
Entele is an AI company that develops physics-informed inverse design models to accelerate R&D for crop protection chemicals. By combining artificial intelligence with physical chemistry and molecular modeling, the company searches vast chemical solution spaces to identify candidates tailored to specific performance requirements. Traditional methods often rely on pattern recognition from historical data. Entele's approach instead proposes candidates based on fundamental physical and chemical laws, then validates them through laboratory experimentation. The result is a more systematic and efficient development workflow than conventional trial-and-error techniques.
The company focuses on the long development cycles common in crop protection R&D, applying its models to small-molecule discovery and formulation optimization to cut the time spent on research, synthesis, and characterization. Entele is research-intensive, pairing computational molecular discovery with physical lab testing to deliver compounds that meet real-world agricultural performance goals.