It begins by defining your scientific worldview: the Ontology.
Connecting multi-modal data across teams.
Transforming expert scientific reasoning into models that think like you.
Powering humans and AI systems to make better decisions in drug discovery.
Programmable scientific reasoning
Score associations from a perspective you define.
BioBox turns how your experts weigh evidence into a quantifiable, traceable score of association, grounded in your own ontology and data.
Grounded in your ontology and data
Reasoning runs over a custom ontology and the real-world evidence already in your graph: your entities, your relationships, your results, never a foundation model's generic priors.
A scientific perspective, encoded
Experts define which lines of evidence count and how much they weigh. The same perspective is applied the same way to every question, and can be revised without unpicking the rest.
A quantified, defensible score
Every module returns one signed score of association that decomposes back into the evidence behind it. Defensible to a scientist, not just plausible to a reader.
Association score
Target Prioritization
Lines of evidence
Every score decomposes into the evidence, supporting and contradicting, that produced it.
Powering Agentic Science
Your knowledge stays sovereign, and unmistakably yours.
Your scientists' judgment lives in reasoning modules grounded in your own ontology and data, and any AI co-scientist reasons against those instead of raw context. So your differentiated knowledge never dissolves into someone else's model. It stays sovereign, governed, and yours to compound.
The model navigates. The science adjudicates.
Ontology-licensed path
An agent composes reasoning modules along a path the ontology licenses. Each one adds a layer of grounded evidence, so the answer is built up, never guessed.
Modules, not raw context
Each reasoning module anchors two concepts in your ontology, carries rich descriptions of what it means and when it applies, and traces to the curated evidence that justifies it. It captures not just what something is, but why it reads that way.
Agents do what they are good at
The agent reads intent and decides which modules to activate and in what order. Adjudication stays inside the modules, so swapping models, or rerunning the same one, returns the same grounded answer.
Composed for the question
Modules chain along paths the ontology licenses. Broad questions recruit complementary modules from related domains; a safety read narrows through tightly scoped, reinforcing ones. The composition adapts while the grounding stays fixed.
Across the discovery lifecycle
One reasoning layer, every portfolio decision
BioBox is built for R&D teams de-risking critical discovery decisions, and for the leaders who need clear visibility into the data and reasoning behind them, now legible to every team and the agents they deploy. From the first target to the final in-licensing call.
Early stage
- Target evaluation
- Indication selection
- Disease-relevant pathway analysis
- Biomarker identification
Late stage
- Target Product Profile assembly
- Internal asset prioritization
- In-licensing competitive analysis
Solutions
Put BioBox to work on a specific decision
See the reasoning layer applied to the calls your teams make every day, each with the data foundation, scoring, and evidence trail behind it.
For R&D
Target identification
Rank targets on what the evidence actually shows, and defend every call.
Learn moreIndication selection and expansion
Choose where an asset goes next on a basis your strategists trust.
Learn morePortfolio strategy
See every program, the decisions ahead, and the reasoning behind them, in one view.
Learn moreFAQ
Questions, answered
The essentials on how BioBox works and what it takes to get started.
Still have questions? Book a briefingWhat exactly is BioBox?
Is BioBox an agent or a foundation model?
What data does BioBox work with?
What is decision provenance?
How do teams onboard?
Is our data secure?
See BioBox on your hardest decision
A working session with our team, mapped to one of your active discovery programs, from ontology to decision provenance.
Book a briefing