Having data is not the same as having knowledge.
Empower your scientists with the tools to engineer knowledge and making better decisions.
The graph is just a resource, the difference is going to come down to how you use it. Our platform is purpose built to make your knowledge graph deliver results by providing state-of-the-art infrastructure for managing ontologies, crafting ML models, and using them to power critical decision making.
The BioBox data platform is a data intelligence platform for scientists to autonomously curate, manage and leverage the power of a custom knowledge graph.
The Ontology is a singular source of truth that defines critical business concepts and how they interact in your organization. Scientific reasoning can be broken down into a statement of logic (path) within your data graph. Develop a proprietary ontology that magnifies your unique know-how and see what others cannot.
Define semantic relationships between biological metadata and observations that are important to your team. Rapidly configure, iterate, and refine the properties and interdependencies to craft your unique representation of biology.
Pythonic data adapters compatible with common data exchange formats (VCF, BED, DGE, Count Matrices etc.) that transform experimental metadata and results into graph compatible data packages. Extend these adapters with your code for customization. Integrate into your data pipelines for reproducible and reliable ETL.
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.
Engineer a collection of expert-level reasoning models to help make faster and better data driven decisions at scale.
Curate lines of evidence that associate any two concepts within your graph. For example gene to disease, pathway to drug etc.
Leverage graph models to generate data prioritization reports for the purpose of target characterization, indication selection and more.
Utilize graph modes to rank and prioritize data points without bias.
Curate differential expression and single cell contrasts on the basis biological metadata from your knowledge graph.
Explore your graph to identify complex relationships that typicaly remain fragmented across siloed data.
Annotate samples with industry standard ontology properties to track important biological metadata.
Explore hidden relationships between biological metadata and multi-omic observations. Share findings with team members.
Leverage properties annotated in your knowledge graph to ask complex biological questions.
Comprehensive answers derived directly from your graph.
Get answers based on evidence, not hallucinations
We offer objective based pilots with enterprise clients where you'll have an opportunity to customize and evaluate the solution. For more details, please contact sales@biobox.io and a team member will reach out!
Data integration and interpretation is our priority and we have limited support for custom workflows. We recommend customers use the API integrations to connect the outputs of workflows into the BioBox platform.
We are always looking for the best and the brightest. If you are passionate about knowledge graphs, generative AI, and biology, there is no better place. Reach out to operations@biobox.io to learn more.
Yes! BioBox supports academics with different discounts depending on your needs. To get started, reach out to sales@biobox.io and we will contact you to discuss your needs.
Quick answers to common questions