Create virtual models of biology that enhance decision making in target prioritization, indication selection, and MOA analysis.
Trusted by scientists at leading companies and research institutions around the world.
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.
Causality. Not Correlation.
Connect data and determine patterns unique to your science. Find the factors that matter.
Modular design
Pick & choose from over 100+ data sources in pre-assembled data packages. Plugin with your cloud infrastructure and existing stack with ease.
Powered by Data
Unbiased. Do more than literature mining.
Why scientists choose BioBox
Disease biology described by you.
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
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
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
"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
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.
