The Power of Nature. The Precision of Design.

The Challenge

Agriculture Needs a New Discovery Engine

Existing tools are losing efficacy to overuse and pressure to reduce synthetic pesticides is accelerating. Biologicals offer a promising alternative, but inconsistent performance, limited differentiation, and supply chain challenges have slowed adoption. And discovering truly novel conventionals takes $300M and a decade. The industry needs a faster, smarter path forward.

Performance by Design^™ is that path – digitally screening billions of candidates to engineer bioactives built for efficacy, safety, and manufacturability.

The Platform

How Performance By Design: AI-Guided Peptide Design

Our platform is rooted in plant-based biology and powered by machine learning, computationally identifying top candidates before a single lab experiment begins. Then, cycles rapidly through design, synthesis, and testing to accelerate from insight to field-ready.

Smarter Screening

Using machine learning, computationally generated peptide sequences are screened in silico for target and performance characteristics. Only the most promising candidates advance to production and greenhouse testing, so every experiment begins with a higher probability of success.

Self-Improving AI Design

Our proprietary machine learning proposes improved sequences each round – translating unmatched biomolecular data into field-ready performance with every cycle. The platform doesn't just find candidates. It runs a closed loop with every cycle feeding the next, continuously narrowing toward better performance.

Rapid Pipeline, Radically Lower Costs

From discovery to first sales in 3–5 years at $15–25M, a fraction of the time and cost of traditional models. Performance by Design^™ enables precise biomolecule design at speed, without sacrificing quality.