GPS for Drug Discovery

Getting to IND is not easy. Preclinical R&D is a journey of high-risk complex decisions.
BioBox is here to simplify that.

BioBox is a knowledge system that combines multi-omic data, graph machine learning and systems biology into a customizable platform - built to 10X team output and de-risk decision making in critical preclinical R&D tasks.

How it works

Integrate your data. Ask biological questions in plain English. Battle test scientific hypotheses. Customize AI agents to assist with preclinical tasks.
Define Scientific Objectives

Set Your Destination

Define the scientific and business outcomes your team is working towards.
BioBox works with you to map out key milestones and design a knowledge graph that aligns with your unique research goals.
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Custom Knowledge Graph

Integrate Public & Private Data

Integrate your proprietary datasets  alongside high-value public data into a custom knowledge graph and eliminate data wrangling.
Multi-omic quantitative data integration
Versioned ontologies and public consortium data
Fully customizable graph structure
Each graph is tailored to your research domain, harmonizing everything from RNA-seq to clinical trials in one structured, searchable system.
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AI Research Assistant  - Graph RAG

Ask Complex Biological Questions

Leverage an AI agent to ask biological questions in plain english across all of the data you have integrated.
Ask multi-hop questions spanning numerous datasets
Customize results with a variety of plots & data tables
Real time up to date results
Make data accessible and searchable for all team members.
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Graph Models

Customize Decision Making AI Models To Achieve Scientific Goals

Build evidence ranking and prioritization systems that reflect your scientific framework. Tailor each model to achieve a scientific goal e.g. identifying a novel target, optimizing an asset, or selecting the right indication.
Comprehensive easy to explore reports
Customizable scoring & data prioritization
Build compelling narratives around each hypothesis
Prioritize targets, pathways, or diseases based on criteria that matter most to your team—backed by real data and customized ranking algorithms.
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Collaborative Ecosystem

Collaborate & Course Correct

Science is iterative. Collaborate across teams, refine your graph, and adjust your course as new data emerges.
Automatic updates as new data is added
Change management & version history
Understand how and why decision were made - all of your teams knowledge in a centralized place

Our infrastructure powers real time AI-in-the-loop decisions in drug discovery.

Custom knowledge graph you can talk to.

Ask complex biological questions that traverse multi-hops and get fact-based responses directly from your knowledge graph. Zero hallucinations.

Which genes
 are upregulated in COPD
 are activated by STAT6
 have a poor safety profile
Query

Causality. Not Correlation.

Connect data and determine patterns unique to your science. Find the factors that matter.

Built on your Propritairy Data

Plugin with your cloud infrastructure and existing stack with ease. Pick & choose from over 100+ data sources in pre-assembled data packages.

Quantitative Sequencing data  > Literature

Unbiased. Do more than literature mining.

Trusted by scientists at leading companies and research institutions around the world.

Why scientists choose BioBox

Feedback that speaks for itself.

Hear what our customers have to say about our platform.

“Enhanced our ability to make data-driven decisions”

BioBox has had a significant impact on our target identification process and overall research outcomes. It has provided us with clear, actionable insights [...] enhanced our ability to make data-driven decisions, ultimately accelerating our research and improving the quality of our findings.

Ryan Harty

Data Scientist
Sante Health

“Automation we did not imagine would be possible.”

[Prior to BioBox] our target prioritization efforts were very manual. BioBox has enabled a level of automation we did not imagine would be possible. We are narrowing in on specific targets and gaining a deeper knowledge and appreciation of our datasets.

Dr. Ken Hsu

Chief Scientific Officer
Stealth Mode Biotech

"Unrivaled exploration canvas for discovery"

Integrating across all our experimental data modalities and ontologies created an unrivaled exploration canvas for discovery. Being able to work with the knowledge graph interactively enabled our research units to uncover insights that helped us eliminate targets from our pipeline.

SVP, Discovery

Top 100 Pharma

"BioBox makes knowledge graphs actually useful in drug discovery."

Other vendors re-sell the same knowledge graph and rarely had meaningful impact on our research. BioBox is the only one that enabled us to design our graph from scratch to incorporate our unique scientific angle. Finally, a platform that makes knowledge graphs actually useful in drug discovery.

Senior Director, Research Informatics

Top 20 Pharma

Delivering Results Where It Matters.

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Frequently asked questions

BioBox supports data across all sequencing modalities including scRNA, bulk RNA, WGS, WES, ChIP, ATAC, and more. Virtually any flat file can be transformed into a knowledge graph representation. For a full detailed breakdown or examples of how this process works, please check our docs!

A BioBox engineer will work with you and your data teams to create and build the required data pipelines and adapters that transform datasets into knowledge graphs. All necessary data will be loaded into the graph on your behalf within the first 4 weeks. Additional datasets can be easily added through custom code written for you by the BioBox team.

Every graph built on BioBox is custom. The graphs conform to your science, not the other way around. Starting with a proprietary ontology that describes how scientific research is conducted at your organization, through to the way your internal data is transformed and connected. BioBox knowledge graphs are fundamentally data driven and constructed through real-world experimental observations, not blind literature mining.

Yes! It is encouraged to use your own data. We have a collection of tools to assist you in transforming your datasets into a knowledge graph.

No. Due to the nature of the work, free trials will not be available.

Yes 100%. BioBox is SOC2 Type I and II compliant. We have a full team dedicated to information security and work with pen-testing companies on a regular basis to provide a battle-tested infrastructure for our customers.

Transform data into knowledge.

Knowledge is engineered. Invest in your data foundations today.