BioBox · Decision & Reasoning Infrastructure

BioBox helps biopharma bring institutional knowledge and multi-modal data into an ecosystem for hypothesis testing, decision making, and decision provenance.

Scroll

The problem

Your organization's best scientific reasoning disappears the moment a decision is made.

The solution

BioBox turns that reasoning into infrastructure, the fabric where your differentiated knowledge lives, legible to your teams and to any AI co-scientist.

Who it's for

Built for the teams making the hard calls

From the bench to the boardroom, BioBox turns institutional knowledge into decisions every team can stand behind.

R&D Teams

Get from data to decision in hours

Give your scientists a reasoning engine that evaluates targets and indications the way your best people do, consistently, across every program.

  • Screen hundreds of targets, indications, and trials in hours, not weeks.
  • Encode your team's frameworks once, then run them on every program.
  • Bring genomics, proteomics, and single-cell evidence into one surface.
  • Trace every conclusion back to the data and logic that produced it.
Learn moreTarget identification
Portfolio Strategy

Run the portfolio on one source of truth

Arm decision-makers with a living, evidence-backed view of every program, so capital goes where the science says it should.

  • Compare programs on a common, defensible scoring framework.
  • Pressure-test prioritization and in-licensing calls before you commit.
  • Track competitors and pipeline shifts with structured, traceable alerts.
  • Walk into any board meeting with a trail behind every decision.
Learn morePortfolio strategy
AI/ML

Ground every AI agent in your institutional knowledge

Make your differentiated knowledge legible to AI, so internal copilots and external AI agents reason on your science, not a generic model.

  • Capture expert reasoning as reusable, governed decision logic.
  • Connect proprietary multi-omic data through a structured ontology.
  • Give any agent a traceable knowledge graph to reason over, not a black box.
  • Stay model-agnostic: bring the best internal or external agent for the job.
Learn moreEncoded reasoning

How it works

The data foundation and reasoning layer for AI in R&D.

BioBox unifies your scientific data and decision logic into a single system, so decisions across R&D become faster, explainable, and repeatable.

Onboard in three layers

01

Multi-modal data foundation

Bring your scientific data into one governed foundation: unified, structured, and ready to reason over.

Multi-omicsAssay dataELNsLiteratureKnowledge bases
02

Reasoning layer

Encode your decision logic so AI reasons the way your scientists do, consistently, across every program.

FrameworksOntologyAgents
03

Decision interfaces

Make the call in decision-ready surfaces built for your teams and their AI agents alike.

Ranked outputsExplainableDecision-ready

What it compounds into

Reasoning layer
reasons your way
Decision tracing
records every call
Decision provenance
explainable & repeatable
Institutional memory
compounds over time

Self-reinforcing by design. The reasoning layer and decision tracing make every decision provable; each one accrues into institutional memory that sharpens the reasoning layer, so the next decision is faster and better grounded.

The core challenge

The reasoning behind your biggest decisions lives in people's heads

In drug discovery, the scientific logic behind critical portfolio decisions gets applied inconsistently across teams and walks out the door when people leave. No shared framework, no provenance, and no way to make that differentiated knowledge legible to the AI agents now entering R&D.

Why the tools you have don't solve it

Connected data isn't the same as connected reasoning

AI Co-Scientist

Powerful general reasoners, but they don't know your science. Without your frameworks and proprietary data, they can't be trusted on the decisions that matter.

Off-the-shelf graphs

Connect your data to a generic view of biology, not the differentiated frameworks your scientists have spent years building.

Data warehouses

Give you storage and scale, but no reasoning layer, and nothing an agent can actually reason over. The decision logic still lives somewhere else.

The status quo

Differentiated knowledge lives in people's heads and gets applied inconsistently: illegible to the AI agents now entering R&D, and gone when people leave.

The core differentiator

The reasoning infrastructure between your proprietary data and the agent, making any of them reason like your best scientists, grounded in your frameworks.

The value

Repeatable reasoning. Traceable decisions.

Decision provenance

Every decision, traceable to its logic

Your frameworks run consistently across every project, and every output traces back to the data and reasoning that produced it, a defensible evidence trail that holds up in any room.

Hypothesis testing at scale

A direct multiplier on R&D throughput

With your frameworks encoded, your team evaluates far more hypotheses than they could by hand. Assessments that took weeks happen in a fraction of the time, and every decision makes the next one better grounded.

AI-agent ready

Your knowledge, legible to any agent

BioBox is the medium your reasoning lives in, so internal copilots and external AI agents reason on your frameworks and proprietary data, not a generic model of biology. Bring the best agent for the job, and it inherits how your team thinks.

Weeks → days

indication and target assessments

Every output

traceable to its data and logic

One framework

running consistently across every project

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.

All solutions

FAQ

Questions, answered

The essentials on how BioBox works and what it takes to get started.

Still have questions? Book a briefing
What exactly is BioBox?
BioBox is reasoning infrastructure for pharma: the medium where your R&D stores its differentiated knowledge and makes it legible to AI. It unifies your scientific data and decision logic into one system, so faster, explainable, and repeatable decisions get made across R&D by your teams and the agents they deploy.
Is BioBox an agent or a foundation model?
No, and that's the point. We don't build or sell the agent or the model. BioBox is the infrastructure beneath them: the medium where your differentiated knowledge lives and becomes legible, so you can point the best internal or external AI agent at the work and have it reason on your frameworks and data.
What data does BioBox work with?
Processed, multi-modal scientific data: multi-omics, assay data, ELNs, literature, and internal knowledge bases, unified into one governed foundation through your ontology, so every layer reasons over the same source of truth.
What is decision provenance?
Every conclusion traces back to the evidence and reasoning that produced it. The reasoning layer plus decision tracing make each decision explainable and repeatable, a defensible trail that holds up in any room.
How do teams onboard?
In three layers: connect your multi-modal data foundation, encode your reasoning, and work in decision-ready interfaces. From there, every decision compounds into institutional memory that makes the next one faster and better grounded.
Is our data secure?
BioBox is built enterprise-grade for the most data-sensitive organizations in drug discovery. See our Trust Center for security, privacy, and compliance details.

See BioBox on your hardest decision

A working session with our team, mapped to one of your active discovery programs, from target evaluation through asset prioritization.

Book a briefing