Connect research evidence
Link compounds, experiments, results, and publications across repositories.
Flaibot for Life Sciences
Make research evidence work across disciplines.
Flaibot connects studies, experimental results, scientific documents, and quality records around shared entities and definitions. Help research and development teams investigate across datasets while preserving the source and context of each finding.
Investigate a research findingIllustrative model
Selected entityStudy
Connect source records around the same study, then follow the relationships and evidence.
IdentityRelationshipsProvenance
One connected context
StudyCompoundsExperimentsResultsPublicationsQuality
records
Where Flaibot helps
Follow the question across your systems.
Bring the relevant records, relationships, and definitions into the same investigation.
Review study context
Compare findings while preserving the relevant conditions, units, and time scope.
Trace quality records
Connect batches, tests, deviations, and the documentation needed for review.
Ask across your data
Start with a question that spans systems.
ASK FLAIBOTExample question
Which experiments support this finding, under what conditions, and where do their results disagree?
See the connected context
This investigation brings these entities and records into the same context:
StudyCompoundsExperimentsResultsPublicationsQuality
records
The relevant definitions, time scope, calculations, and source documents stay attached to the finding. Missing or conflicting evidence remains visible.
Built for review
Keep the evidence attached to the answer.
Keep the entity, time period, and meaning consistent across every step.
- Consistent contextResolve identities and definitions across your structured data and documents.
- Traceable evidenceBring calculations and source records into the same investigation.
- Visible uncertaintyMake missing, conflicting, or unresolved evidence clear to the reviewer.
Your data. Your next question.