Clinical Trial Intelligence Platform
A complete competitive trial landscape with sponsor normalization, sites, mechanisms, publications, and funding signals.
The problem this solves
Life sciences teams need decisions faster than public data can be cleaned manually. This solution compresses months of preparation into a governed, query-ready product.
VP-level and director-level teams often know which questions matter, but the required data is spread across incompatible FDA, CMS, NIH, EMA, USPTO, literature, ontology, and identity sources.
Clinical Trial Intelligence Platform removes the repeated engineering work by delivering the connected tables, bridge keys, and sample queries that your team would otherwise build from scratch.
What you get
ClinicalTrials.gov AACT tables reshaped for sponsor, facility, intervention, endpoint, and condition analytics.
Sponsor and collaborator normalization to ROR with parent-child organization hierarchy support.
Drug, target, disease, MeSH, publication, and NIH funding bridges for competitive trial monitoring.
Compliance and enrollment signals pre-computed for FDAAA 801 and study-status surveillance.
Context Layers Powering This Solution
Each card links to a query-ready context layer in the biomedical estate.
Active and historical trial landscape context
Clinical layer • 519K+ trials • Weekly
Clinical contextResearch funding momentum and grant linkage context
Clinical layer • 1.27M grants • Annual
Clinical contextLongitudinal research funding history
Clinical layer • 1.1M grants • Annual
Financial & Market Access contextPhysician-industry relationship and payment context
Financial & Market Access layer • 16M+ payment records • Annual
Scientific contextDrug-target mechanism and bioactivity context
Scientific layer • 2.5M compounds • Quarterly
Scientific contextHuman protein target biology context
Scientific layer • 20,370 human proteins • Quarterly
Literature contextBiomedical literature evidence context
Literature layer • 10.2M papers • Monthly
Disease & Ontology contextDisease topic hierarchy and synonym context
Disease & Ontology layer • 31K descriptors • Annual
Identity & Registry contextResearch organization identity and hierarchy context
Identity & Registry layer • 135K+ organizations • Annual
Day-one query results for tirzepatide
Designed sample output showing the type of redacted table your analysts can query immediately after provisioning.
| Signal | Value | Source |
|---|---|---|
| Canonical entity | tirzepatide | Drug spine |
| Primary risk score | High confidence | Pre-computed model |
| Connected products | 9 products | TDD catalog |
| Latest refresh | 2026-09-01 | Lineage table |
Built for the teams who own the decision
For Clinical operations teams
Map active competitors, trial sites, recruitment status, and sponsor activity by indication.
For Translational medicine teams
Connect trial interventions to targets, mechanisms, and disease ontology terms.
For Portfolio teams
Compare external trial velocity, funding intensity, and publication momentum.
Common questions
Procurement, architecture, and analytics teams can evaluate exactly how the product will land in your environment.
Query on day one
Sample SQL included
Is the full AACT schema included?
Yes. The solution retains the relational richness of AACT while adding normalized joins, sponsor resolution, geocoding, and analytical scoring.
Can trials be mapped to drugs?
Yes. Intervention names are resolved to RxNorm, ChEMBL, and the canonical drug identity spine where deterministic matching is available.
Does it include site-level geography?
Yes. Facilities are normalized with country, state, city, and geospatial fields for territory and enrollment analytics.
See This Solution In Action
We'll walk through live warehouse queries and sample outputs for your specific use case.
Request Demo