Biomedical AI Data Infrastructure

Biomedical AI data.
FDA-provenance included.

Curated pharmacogenomic, clinical, and drug-discovery datasets — each with structured provenance ready for FDA AI/ML submissions. Ready in minutes, not 6–12 months.

4
live data sources
50K+
PGx evidence records
$149/mo
vs $300K–500K in-house
FDA-ready
provenance cards
The build-vs-buy math

Stop spending $300K/year
on data pipelines.

An internal PGx data team costs $300K–$500K/year in salaries alone — before infrastructure, license negotiation, and 6–12 months to first usable dataset. Attester delivers the same output on day one.

See pricing →
CapabilityBuild in-houseAttester
Time to first dataset6–12 monthsDay 1
Annual cost$300K–500K$1,788/yr
FDA provenance docsManual / slowAuto-generated
License clearanceLegal team req.Included
Data freshnessAd hocDaily auto-sync
PGx sources covered1–2 typically4 (CIViC, PharmGKB, FDA, ClinTrials)
API accessCustom buildReady on day 1
Live data, right now

Real clinical evidence — ingested daily

Every record is sourced from CIViC, PharmGKB, DailyMed, or ClinicalTrials.gov, scored S0–S5 for evidence strength, and auto-approved for clinical evidence (S4/S5).

GET /v1/datasets/pgx-pharmacogenomics-v1/records?state=S4&limit=5
// 5 of 47,000+ approved records — sorted by confidence score
genedrugdiseasestateconfidencesource
BRAFVemurafenibMelanomaS40.91CIViC
CYP2D6CodeinePain managementS50.96PharmGKB
EGFRErlotinibNon-small cell lungS40.88CIViC
DPYDFluorouracilColorectal cancerS50.94PharmGKB
KRASCetuximabColorectal cancerS40.87DailyMed
{ "meta": { "total": 47284, "pages": 473 } }
Read the API docs →

Commercially cleared

Every dataset ships with cleared commercial license terms. No 6-week legal review to discover your use case isn't permitted.

Evidence-graded, not just listed

Every record carries an S0–S5 evidence state and a Markov-derived confidence score. Filter to S4/S5 for only validated clinical evidence.

FDA provenance card included

Each dataset includes a structured FDA Provenance Data Card — source provenance, curation methodology, limitations, and governance chain. Drop it in your pre-submission package.

Auto-synced daily

CIViC, PharmGKB, DailyMed, and ClinicalTrials.gov are ingested on a rolling schedule. New records appear automatically — no manual refresh.

0 datasets
Clinical NLP
Discharge summaries, progress notes, ICD-coded encounters
1 datasets
Genomics
Variant calls, gene expression, pharmacogenomics panels
0 datasets
Drug Discovery
Binding affinities, ADMET profiles, target-activity matrices
How Attester works
From raw source data to FDA-ready package in four automated steps.
01
Ingest
CIViC, PharmGKB, DailyMed, and ClinicalTrials.gov are pulled on a rolling schedule with SHA-256 delta detection.
02
Score
Each record is classified S0–S5 and scored by a Markov confidence model. S4/S5 records are auto-approved.
03
Review
S0–S3 records enter the PhD reviewer queue. Reviewers approve, flag, or annotate before records go live.
04
Publish
An FDA Provenance Data Card is auto-generated and the dataset goes live for API and download access.
Read the full AQS methodology →
Featured datasets
Browse all 1 datasets →

Stop rebuilding data pipelines.
Start shipping AI.

Explorer plan is free — full catalog access, schema preview, and 5 sample records per dataset. Upgrade to Builder for full downloads, API access, and provenance PDFs.