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Discovering new pesticides with AI
We're developing better, safer pesticides in-house using custom AI models.
Bindwell is an AI-driven pesticide discovery company that uses neural networks and high-throughput wet-lab data to design new pesticides, aiming to replace traditional wet-lab design with computational methods. It positions itself as a startup backed by notable investors and focused on safer, more effective pesticides.
Bindwell builds neural networks to design pesticides and operates a wet-lab in San Carlos that conducts high-throughput assays to generate training data for its models. Their approach scales computation and data rather than relying on manual design, with ongoing development of its first pesticide for Spodoptera frugiperda.
Who it’s for: Agricultural producers/farmers and agrochemical manufacturers seeking safer, more effective pesticides and faster discovery timelines.
funding mentions (YC, General Catalyst, SV Angel, notable founders); news coverage; active hiring/careers page
CEO @ Bindwell. Former Wolfram Research, background in ML engineering and comp bio research. Interested in using AI to solve big problems.
Founder @ Bindwell: AI Platform for Pesticide R&D. I'm passionate about bioinformatics and AI, exploring the intersection of biology & natural language processing: ex-Caltech student and World Science Scholar.
We're developing better, safer pesticides using our state-of-the-art AI models.
Foldwell launches as part of Bindwell’s AI-driven pesticide discovery suite, introducing Foldwell (an AlphaFold–replacement) plus PLAPT and APPT models to speed target structure identification, protein–ligand interactions, and biopesticide screening for selecting high-specificity candidates in harmful species.
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