Celra AI extracts, curates, and source-links structured clinical, safety, efficacy, regulatory, and RWE data — schema-enforced and submission-ready. No black box. SME sign-off at every stage.
Data types we curate
One platform covers every evidence data type your team works with — from source document-based clinical extraction to regulatory dossiers, RWE, and competitive intelligence. No switching tools, no reformatting between workflows.
Clinical outcomes
Safety data
Efficacy endpoints
Competitive intelligence
Source document review data
SLR / TLR data
PK/PD Data
Quality of Life (QoL) Data
Medical affairs data
HTA / payer evidence
Regulatory evidence
RWE data
Network meta-analysis
Meta-analysis inputs
The Solution
How Celra AI works
Whatever the data type, every extraction follows the same five-stage pipeline. AI does the reading, structuring, and source-linking. A trained SME validates every decision. The output reaches your team analysis-ready — nothing to reconcile, nothing to reformat.
AI accelerates extraction
SMEs ensure accuracy
Every data point is fully traceable
Validated results
These aren’t projected numbers. We measured every extracted value against the source documents. Here’s exactly what Celra AI produced.
96
data coverage
80
faster extraction
10-12
for 100 trials & 100 variables
80
data extraction accuracy
Get started in 48 hours
See it run on a paper from your own pipeline.
We’ll run a live extraction on a trial you choose — your therapeutic area, your endpoints. First batch live within 48 hours of a signed agreement.
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