Resolved entities, not search results
The graph knows when two names refer to the same asset, target, sponsor, endpoint or indication. Evidence joins to a canonical entity instead of disappearing into another document index.
TECHNOLOGY
Decision intelligence
built on our graph.
Gauge Labs is built on a proprietary biomedical knowledge graph that connects the entities and evidence behind drug development. It is not a document index with a chat layer on top. It is the intelligence substrate behind every product, analysis and recommendation.
956,964clinical trials
143,650therapeutic assets
35,014indications
4.17Mpublications
One proprietary model of how drug development actually fits together.
Assets do not exist in isolation. Their value depends on targets, indications, trials, endpoints, competitors, regulatory precedent and changing evidence. Our graph resolves those moving parts into one connected model built for program decisions.
GAUGE LABS KGYour programone evolving source of truth
Asset
Target
Indication
Trial
Endpoint
Competitor
Precedent
Decision-grade relationships
Typed links preserve what connects a program to its mechanism, trial design, competitive set, regulatory precedent and commercial context — the structure required to reason across a development strategy.
Provenance by construction
Every claim retains its source, date and context. Teams can move from an answer to the relationship behind it and back to the underlying evidence without losing the chain of reasoning.
WHY IT COMPOUNDS
Every new source strengthens the same graph. Every resolved entity improves the next analysis. Every program question benefits from the context accumulated before it.