Built on Liebig's Law of the Minimum · Now in private beta

Designing the next
generation of safer
agrochemicals.

The first molecular design platform built specifically for agrochemistry — with cross-species selectivity, resistance prediction, and regulatory awareness pharma tools weren't designed to provide.

Pharma platforms weren't built for this.

Schrödinger and OpenEye optimize for human drugs. Plant biology, insect biology, and agricultural ecosystems need fundamentally different tools.

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Cross-species selectivity

Predict whether a compound will harm bees while killing target pests. Multi-organism conservation analysis built into every prediction.

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Pesticide-likeness scoring

Tice rules for herbicides, insecticides, and fungicides — not Lipinski rules calibrated against human drugs.

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Resistance hotspot prediction

Identify which residues in target enzymes are most likely to evolve resistance, before you commit to a chemotype.

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Plant uptake modeling

Cuticle penetration, phloem mobility, stomatal uptake — properties that determine whether your compound works in the field.

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Regulatory awareness

EU REACH and EPA FIFRA thresholds built into every assessment. See compliance status as you design.

Built for speed

Modern web platform, real-time predictions, no software installation. Designed for daily use by working chemists.

Live, programmable, scriptable.

Every Edeon capability is available via REST API. Integrate with your existing pipelines.

# Predict properties for any pesticide candidate POST https://edeon.science/api/molecule/properties { "smiles": "OC(=O)CNCP(=O)(O)O", // glyphosate "name": "glyphosate" } # Returns: { "molecular_weight": 169.07, "logp": -2.21, "pesticide_likeness": { "herbicide": { "passes": true, "score": 0.8 }, "insecticide": { "passes": false, "score": 0.6 } } }
"The growth of a plant is limited by the scarcest resource, not by the total amount available." — Justus von Liebig, 1840 · Law of the Minimum