Mission
Making Public Biomedical Data Actually Usable
There is more publicly available biomedical intelligence than any team can process. FDA, CMS, NIH, EMA, USPTO, and 40+ other authorities publish the data that life sciences companies need to make decisions. The problem is not access. The problem is engineering. We solve the engineering problem permanently.
What makes us different
Public Data Only
No proprietary lock-in. Every source is traceable to public biomedical authorities.
Cloud-Native Delivery
Your BigQuery or Snowflake workspace receives governed data products directly.
Pre-Joined & Query-Ready
Analysts start querying on day one instead of rebuilding ETL pipelines.
Products
Sources
Records
Delivery
Built by biomedical data operators
Team content is stored in the Keystatic-managed content collection and rendered as production cards.
Maya Rahman
Founder & Biomedical Data Architect
Leads the data estate architecture, source lineage model, and drug identity spine methodology for public biomedical intelligence.
Elliot Chen
Head of Life Sciences Engineering
Builds cloud-native delivery pipelines that turn FDA, CMS, NIH, EMA, USPTO, and ontology sources into governed warehouse tables.
Sofia Alvarez
Director of HCLS Solutions
Partners with market access, PV, clinical operations, and BD&L teams to convert use cases into query-ready data products.
Our approach to data quality
Each product is validated as a durable analytical asset rather than a copy of source files.
Validation methodology — row counts, schema checks, type validation, and source file lineage.
Join key verification — deterministic joins, match-rate tracking, and exception logs.
Type correction — dates, numeric fields, identifiers, booleans, and null semantics standardized.
Entity resolution — canonical mappings for drugs, genes, providers, organizations, diseases, and chemicals.