/ knowledge graph
Weave together a unified representation of your science
A complete system to bring together massive, messy, and siloed datasets—structured and unstructured—into a single consolidated source of truth.
Multi-Omic Data
Public & Private Data Integration
Fully Custom
Single Source of Truth
/ Feature
Multi-Omic Data Integration
Combine and connect observations across all your omic data modalities to see the whole picture in a new way.
First class support to directly integrate objective multi-omic data
Capture and combine complex biological phenomenon
Multi-hop traversals that describe biological complexity
/ Feature
Public & Private Data Integration
Harmonize and enrich your private data with collections of pre-packaged and modular bundles of high quality research data.
Modular and composable
Conforms to your schema to focus on how your science is defined
Managed, updated, and regularly maintained so you don't have to
/ Feature
Fully Custom
BioBox is the only place where you can build a knowledge graph completely customized to your needs and developed on your terms.
Avoid waiting months for vendors to do your update requests
No more fighting with reps about the structure of the vendors graph
Build something unique and retains value — instead of the same recycled graph
/ Feature
Single Source of Truth
Develop a single source of truth that benefits from information across connected datasets for a unified representation of science.
Data adapters that hook into data pipelines that just work
Centralizes structured and unstructured data across channels
Automatically harmonize and organize information on-the-fly
/ metrics
Systems that deliver real impact.
With BioBox, biopharma teams don’t just manage data, they multiply their scientific output.
Time recovered for translational scientists:
32%
Scientists and decision makers save 5-10 hours every week across tasks in preclinical R&D.
Hypothesis testing throughput increased by:
Up to 100x
Using graph models built to reason like human experts, R&D teams are able to prosecute massive amounts of hypotheses per unit time.
< 3 weeks
to full team onboarding
100%
customer ownership of data
24/7
support and uptime monitoring
99.8% uptime
platform reliability and performance