Built for AI Platform Partners
Build on the Layer
Nobody Else Is Selling
You are building products, agents, and models for life sciences. The data to train and ground them is fragmented, unstructured, and expensive to normalize. Rebuilding the oncology evidence layer yourself is a multi-year detour from your actual product. Kognitic offers the validated layer as a licensed foundation you can build on.
Built for Founders, Heads of Data, and Heads of AI at companies and vendors building products, agents, and models for life sciences.
20+
Global Registries
Live40k
Drugs Tracked
Machine-ready3k+
News Sources
Structured9
Ontology Dimensions
Audit-gradeCoverage figures are the four promotable Kognitic scope metrics. Panels are representative.
Everyone Wants Oncology Data. Almost No One Has Structured It.
Training on Noise Means
Inheriting Its Gaps
To build credible products for life sciences, you need normalized, provenance-tracked oncology evidence. Scraping and structuring it yourself pulls your team away from the product you are actually trying to ship.
Training on unstructured public data means inheriting its noise and its gaps
Your models are only as credible as what they were built on.
Provenance matters. Your customers will ask where the data came from.
An answer of "we scraped it" is not a foundation to sell enterprise life sciences on.
Normalizing oncology evidence is a multi-year detour from your product
The layer is not your product. License it and ship the thing you are actually building.
Why AI Companies Partner With Kognitic
A Partnership, Not a Subscription
Kognitic offers the validated oncology layer as a licensed foundation, with terms built to scale alongside your product.
Data Quality and Provenance
Trial arms, patient cohorts, and efficacy outcomes mapped to a rigorous ontology. The messy landscape structured into an apples-to-apples standard.
Coverage, Completeness, Normalization
Broad, current oncology scope normalized across nine ontology dimensions. Machine-ready to integrate against from day one.
Licensing That Scales With You
Build on the layer instead of rebuilding it. Terms structured as a partnership that grows with your product, not a seat-based subscription.
The Decision View
Coverage, Provenance, and Scale
The scope of the evidence layer you would license — the same normalized backbone
that powers Core and Outcomes, available to build on.
20+
Global Registries
ClinicalTrials, EudraCT, ISRCTN, UMIN, and more
Live · continuously updated40k
Drugs Tracked
Approved, late-stage, and early pipeline
Machine-ready schema3k+
News Sources
Press, conference abstracts, regulatory feeds
Structured · normalized9
Ontology Dimensions
Indication, LOT, biomarker, arms, endpoints +
Audit-gradeQuality & Provenance
Audit-grade, quality-controlled, and traceable to source. The provenance your customers will ask you to prove.
Source-traced · verifiable
Machine-Ready Normalization
Normalized across nine ontology dimensions. Structured to integrate against, not scrape and clean.
9 dimensions · consistent schema
Licensing That Scales
Terms structured as a partnership that grows with your product, not a seat-based subscription.
Partnership terms · not seat-based
Coverage figures are the four promotable Kognitic scope metrics. Panels are representative.
One Ecosystem
The Same Layer,
Three Front Doors
Partners license the API layer directly. The same evidence powers the turnkey Core and Outcomes platforms, proof the layer performs in production.
Data Access Layer
The licensable oncology evidence layer. Production-grade, provenance-traced, machine-ready for your products, agents, and models.
Explore the API →Clinical Evidence Intelligence
The comparative evidence layer in production, proof the normalization holds up at scale.
Explore Outcomes →Clinical Trial Intelligence
The live competitive layer built on the same backbone you would license.
Explore Core →The Kognitic Difference
Scrape It, or Buy It Raw.
Neither Gives You a Layer to Build On.
Sponsor Materials
A Multi-Year Detour
Standing up coverage, normalization, and provenance in-house pulls your team off the product you are trying to ship.
Legacy Databases
Volume, No Structure
Broad feeds with no ontology and no provenance. Your customers will ask where it came from, and you will not have a clean answer.
Then there's Kognitic
The Validated Layer
Audit-grade, provenance-traced, normalized across nine dimensions. A licensed foundation with terms that scale alongside your product.
Build on the Layer
Don't Rebuild
What Already Exists
See the coverage, the provenance model, and how a data partnership is structured. Start the conversation.