/ AI REsearch Assistant — Graph RAG
A.I. that can think
Designed to help scientists who make decisions based on data and logic instead of literature summaries.
Intuitive & Precise
Ontology Driven
Programmable
Hallucination-Free
/ Feature
Intuitive & Precise
The collective intelligence of your entire organization's R&D accessible from one single portal. Technical skills required? Just plain english.
Simple and elegant search that hides the complexity for ease-of-use
Supports custom nomenclature to adopt to your team's terminology
Incorporates internal priors and assumptions to interpret questions
/ Feature
Ontology Driven
Understands the meaning behind your question using a custom ontology — like encoding memory to an agent.
Modular and composable
Conforms to your schema to focus on how your science is defined
Interprets the words in the question and the intent using definitions unique to your scientists
/ Feature
Programmable
Intermediate transformations and interpretations available to users for refinement and auditing. Now also available through API calls.
Can be invoked using APIs to attach to internal tools
Observable and traceable logic through the generation process
Save, refine, and collaborate together with re-usable queries
/ Feature
Hallucination Free
Queries transformed into paths that are searched against the knowledge graph. Answers are rooted in facts — data sources, references, and specific evidence reported.
Assertions are backed by data points — always
Sources and provenance trails available on every call
Evidence-based. It's either in the graph or it's not.
/ 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