Our Platform

AI agents that engineer disease resistance.

An autonomous pipeline — from genome mining to field-ready candidates — powered by agentic AI at every step.

Genome Mining
Structure AI
Edit Design
Validation

What makes us different

Traditional breeding: 7–15 years.

Our AI pipeline: weeks.

Agentic AI
0+

Plant genomes

0

Global regions

0%

Prediction accuracy

0nt

Non-GMO window

01Genome Mining

Nature already solved it. Our AI finds where.

Agents scan 1,000+ plant genomes for natural immune receptors — PRRs that evolution optimized over millions of years.

Wheat
Rice
Soybean
Tomato
Cassava
02Structure Prediction

Every receptor has a shape. AI maps it in minutes.

AlphaFold2 predicts 3D structures to identify the surfaces where pathogen recognition occurs.

14008001173 aa

FLS2 receptor · PDB 4MN8 · hover to explore

03Precision Editing

5 edits. 20 nucleotides. Non-GMO.

Protein language models propose precise mutations that strengthen pathogen binding — all within the 20-nt regulatory threshold.

20-nt editing window
ATCGATCGTTACGATCGATCG
04In Silico Validation

Predict before planting.

mamp-ml validates candidates against 2,135 receptor-pathogen pairs.

0%
Sensitivity81%
Specificity68%

Ready to protect your crops?

We're working with breeders to bring AI-designed disease resistance to wheat, rice, and soybean.

WheatRiceTomatoSoybeanCassava