Research, Regulatory, and Commercial AI at Scale
Unify trial data, scientific literature, safety signals, and commercial context so teams can move faster with traceable answers.
The Challenge
01
Research fragmentation
Scientific data, literature, and trial knowledge are spread across isolated repositories and teams.
02
Regulatory pressure
Every claim and workflow needs lineage that can stand up to audit and review.
03
Slow cross-functional insight
R&D, medical, safety, and commercial teams rarely operate from one contextual model.
What You Can Build
01 Use case 01
Scientific knowledge graph
Connect studies, targets, and evidence
Create a shared graph across publications, compounds, pathways, and internal findings to accelerate discovery and reuse insight.
2x faster discovery
Better knowledge reuse
02 Use case 02
Clinical trial intelligence
Query protocol and site context
Link protocol changes, patient cohorts, sites, vendors, and outcomes for faster operational and scientific decisions.
Clearer trial context
Less manual stitching
03 Use case 03
Safety & signal management
Surface related evidence
Connect reports, literature, patient context, and historical decisions to help teams investigate safety signals with better traceability.
Richer evidence trails
More confident review
04 Use case 04
Medical and commercial Q&A
Answer with grounded evidence
Support internal teams with assistants that retrieve approved, role-appropriate answers backed by trusted sources.
90%+ traceable coverage
Safer AI for knowledge work
Live workflow
Medical and commercial Q&A
- Approved source filtering
- Role-aware answer generation
- Claim-to-evidence view
"What changed for us wasn’t just speed — it was being able to move faster without losing scientific and regulatory confidence."
Knowledge strategy lead, global life sciences company
How It Works
01
Connect
Bring in core systems, event streams, and files without forcing teams into a new stack.
02
Unify
Model relationships automatically so teams can trace how entities connect across systems.
03
Deploy
Power copilots, analyst workflows, and governed AI on top of trusted graph context.
Customer Story
A life sciences team unified scientific and operational knowledge into one graph
Researchers, medical teams, and operations leaders now work from a shared evidence layer that improves discovery, review, and cross-functional decision-making.
Faster insight reuse
Traceable answers
Cross-team shared context
See How Life Sciences Teams Use Fluree
Connect scientific, clinical, and commercial knowledge into one trusted graph built for high-stakes AI workflows.