Research-grade data
for life sciences teams.
Datom provides curated clinical, genomic, and pharmaceutical datasets plus enrichment APIs — so your R&D team can focus on discovery, not data wrangling.
$ curl https://api.datom.dev/v1/compound \
-H "Authorization: Bearer dk_..." \
-d '{"molecule": "ibuprofen"}'
{
"name": "Ibuprofen",
"cas_number": "15687-27-1",
"molecular_formula": "C13H18O2",
"phase": "Approved",
"therapeutic_area": "Pain / Inflammation",
"mechanism": "COX-1/COX-2 inhibitor",
"clinical_trials": 847
}Market Opportunity
Why life sciences data matters
The life sciences industry generates some of the most complex and valuable data on the planet — yet most of it remains siloed, unstandardized, and underutilized.
Growing at 11%+ CAGR — one of the fastest-expanding data verticals globally.
Most organizations still rely on ad hoc methods, creating massive demand for structured data platforms.
Better data infrastructure can shave years off R&D cycles, making high-quality datasets incredibly valuable.
Life sciences leaders are actively seeking modern data platforms to replace legacy systems.
Platform
Data infrastructure built for life sciences
From clinical trials to genomic data, Datom delivers research-grade datasets and APIs purpose-built for pharma, biotech, and health-tech teams.
Clinical Trial Datasets
Pre-structured, cleaned data from 800K+ clinical trials worldwide. Filter by phase, therapeutic area, sponsor, or endpoint — ready for analysis.
Genomic & Molecular Data
Access curated genomic sequence data, protein structures, and molecular compound libraries. Cross-referenced and enriched for machine learning pipelines.
Compound Enrichment API
Query any drug name, CAS number, or molecular formula — get back structured data on mechanism of action, therapeutic area, trial status, and more in real-time.
Regulatory-Ready & Compliant
HIPAA-compliant infrastructure with full audit trails. Data lineage tracking for every record — built for the compliance demands of pharma and biotech.
Custom Data Pipelines
Need data from specific registries, publications, or proprietary sources? We build tailored extraction and normalization pipelines for your R&D workflows.
Real-World Evidence (RWE)
Structured datasets derived from real-world patient outcomes, electronic health records, and post-market surveillance — critical for regulatory submissions.
Who It's For
Built for every team in the pipeline
Pharma R&D Teams
Accelerate drug target identification with structured compound and trial data. Reduce months of manual data gathering to API calls.
Biotech Startups
Skip building data infrastructure from scratch. Plug into Datom's APIs and focus on your therapeutic hypothesis, not data plumbing.
CROs & Contract Research
Enrich your study designs with competitive landscape data, trial benchmarks, and historical endpoint analysis from our curated datasets.
Health-Tech & AI/ML Teams
Train models on clean, standardized life sciences data. Our datasets are ML-ready — properly labeled, deduplicated, and continuously updated.
Pricing
Plans for every stage of research
Start with a dataset pack, scale to full API access, or go enterprise for your whole organization.
Starter
For teams exploring life sciences data
- Curated dataset bundle (~10K records)
- Compound & trial sample data
- CSV & JSON formats
- Documentation & schema guide
- Email support
Pro
For R&D teams and production workloads
- Full dataset library access
- 10,000 API calls / month
- Clinical trial + compound enrichment
- Monthly data refreshes
- Custom extraction pipelines
- Priority support + SLA
Enterprise
For pharma and large biotech organizations
- Unlimited API access
- Dedicated data pipelines
- HIPAA BAA & compliance docs
- Custom integrations (LIMS, EHR)
- On-prem deployment option
- Dedicated account manager
Accelerate your research with better data
Life sciences teams are already using Datom to cut months off their data workflows. Start building today.