(2020)
Foundation
BioBox was founded with a grand vision - to build digital systems and invent new technologies that enables scientists to decode biology and unravel disease biology at unprecedented scale.
Our vision is a scientific era where AI reasoning systems support our greatest scientific minds to accelerate the path to life-saving medicines.
(2024)
Breakthrough
Developing and iterating with early pharma partners leading to an award-winning year from our breakthrough knowledge graph technologies that redined how scientists explore biology at scale.
(2025)
Growth
Building on our breakthroughs, BioBox is now scaling our proven solutions, partnering with leading pharma giants to amplify our impact and decode disease biology on a global stage.
Founding Team
BioBox combines decades of software engineering, drug discovery, and bio-medical research experience.
Christopher Li
CEO & Co-Founder
Hamza Farooq
CTO & Co-Founder
Julian Mazzitelli
CIO & Co-Founder
Lauren Phillips
CPO & Co-Founder
Investors & Partners
Tom Preston-Werner
GitHub co-founder
Frequently asked questions
What types of data can I work with?
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!
What does onboarding look like?
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.
What makes BioBox Knowledge Graphs different?
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.
Can I use my own data?
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.
Is there a free trial?
No. Due to the nature of the work, free trials will not be available.
Is it secure?
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.
