Build Reasoning Systems & Decode Disease Biology.
A complete platform for scientists to engineer expert-level reasoning & ontology-aware applications to support decision-making.
Ontology
A singular source of truth that defines critical scientific concepts and how they interact in your organization.
Clearly define the logic behind your decisions and make them with confidence.
Model
Engineer and tune a collection of expert-level reasoning models that operate on top of the ontology to quantify association and determine causality.
Application
An ecosystem of ontology-aware software tools for users across the organization, from therapeutic area to medical affairs, to leverage the graph and solve complex problems.
Craft your scientific schema.
Define the critical scientific concepts and how they interact in your scientific research organization.
Rapidly configure, iterate, and refine the properties and interdependencies to craft your unique representation of biology.
Modular adapters to make data flow.
Pythonic data adapters compatible with common data exchange formats that transform experimental metadata and results in graph compatible data packages.
Extend and custom adapters with your own code. Integrate into your data pipelines for reliable ETL.
Private & public data integration.
Modular data packs from public data sources with one-click import to enrich your data graph with public knowledge bases and reference data. Nucleate your graph with the world's most trusted and comprehensive data sources. Curated and updated on a monthly basis.
Ontology
Establish Causal Biological Paths
Trace important graph connections that describe critical biological processes.
Capture disease pathway, drug response, safety and risk patterns within your graph.
Quantify Associations & Uncertainty
Assign weights and biases that reflect your perspective of how scientific evidence is used. Rapidly iterate and test out how different scoring algorithms influence overall associations.
Leverage these models to make decisions with less uncertainty.
Refined for your science
Models self-correct and self-update when new information is acquired. Create a digital round-table of experts that can synthesize complex biological associations and interpret data at scale.
Model
On-Demand Report Generation
Tap into your collection of graph models and generate scored and ranked interactive reports that puts all the data points at your fingertips.
Comprehensive data reports generated in seconds.
Explore Serendipitous Relationships
Interrogate your graph with the most powerful graph data explorer, capable of running ML models and algorithms directly in your browser.
Explore hidden relationships between biological metadata and multi-omic observations.
Converse with your data
Agentic AI that understands and interprets natural language questions to search through your custom knowledge graph for answers, backed by real-world data.
Easy-to-use query language for power users to find that needle in the haystack.
Applications
Our infrastructure powers real-time, AI-in-the-loop decisions in drug discovery, unique to your science.
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.
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.
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