Capture how your best scientists weigh evidence and resolve contradictions, and compile it into versioned reasoning your agents apply consistently, not prompts that drift.
Book a briefingProgram the reasoning behind every scientific call
Judgment, not prompt text
Encode frameworks, thresholds, and trade-offs as structured reasoning you can inspect, test, and version.
Runs the same way every time
The same evidence yields the same call, so your standards hold across every agent, team, and model.
An asset that compounds
Reasoning lives as something you own and refine, getting sharper instead of walking out the door.
Start from how your experts actually reason
BioBox captures how your best scientists weigh evidence: their frameworks, thresholds, and the calls they trust. It becomes a structured model you can inspect.
Reasoning you version, not prompts you babysit
Adjudication rules and trade-offs become executable modules that run consistently, far past the point where brittle prompt text falls apart.
Prove it reasons the way you would
Replay past decisions and hard edge cases to confirm the encoded reasoning matches your experts before it ever reaches an agent.
Expertise that stays with you
Every refinement is kept and versioned, so institutional judgment becomes a durable asset instead of tribal knowledge.
Start from how your experts actually reason
BioBox captures how your best scientists weigh evidence: their frameworks, thresholds, and the calls they trust. It becomes a structured model you can inspect.
Reasoning you version, not prompts you babysit
Adjudication rules and trade-offs become executable modules that run consistently, far past the point where brittle prompt text falls apart.
Prove it reasons the way you would
Replay past decisions and hard edge cases to confirm the encoded reasoning matches your experts before it ever reaches an agent.
Expertise that stays with you
Every refinement is kept and versioned, so institutional judgment becomes a durable asset instead of tribal knowledge.
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.
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See BioBox on your hardest decision
A working session with our team, mapped to one of your active discovery programs.
Book a briefing