The Orchard platform: Biology, in context
A closed-loop platform that models biology in context, designs high-impact genetic interventions and tests them at speed.
A closed loop with a selective downstream path
01
Foundational modelling
Cross-species, multimodal models of plant molecular biology move beyond association-based discovery towards mechanistic understanding of traits and non-obvious biological targets.
Each modality captures a different part of mechanism and context, not simply more data.
- Genetics
- Transcriptomics
- Structural biology
- Metabolomics
- Species
- Tissues
- Conditions
02
Agentic prioritisation
Model predictions are contextualised against literature, patents and published quantitative data to prioritise the biological strategies most worth testing.
- Proprietary model signal
- Biological evidence
- Commercial context
- Prioritised intervention
03
Rapid testing
In vitro and transient experimental systems let us test platform predictions quickly, reject weak hypotheses and generate functional data for further model improvement.
04
Trait deployment & validation
The strongest strategies progress into deeper trait validation in commercially relevant plant systems.
What the platform enables
Explore more biology.
Test it faster.
Combining novel biological signal with rapid experimental learning lets us work beyond canonical, well-studied targets, and find out sooner which genetic strategies actually hold up.
What we build with it