Frekil blog · Jun 2026
Technical post on empirical calibration and statistical rigor in observational data analysis.
Intelligence Layer for Real World Clinical Data
Company research
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Overview
Frekil is a YC-backed healthcare AI company building real-world evidence (RWE) infrastructure that turns clinical data into publication-ready evidence in minutes. Public sources also show an earlier launch narrative around medical imaging annotation, but the current official positioning is RWE automation for pharma, biotech, and CRO workflows.
Primary product
AI-powered real-world evidence infrastructure / end-to-end RWE study automation platform
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Software Development
Sub-industry
Real-world evidence software
Offices
San Francisco, California, United States
Bengaluru, India
Business model
Platform subscription
Per-study pricing
Funding
Stage
Seed
Total raised
$500K
Latest round
Seed · Apr 2025
Latest amount
$500K
Apr 2025
People & investors
Investors
Work & culture
The company emphasizes radical transparency, scientific rigor, bias for action, direct access to the founders, and a strong security posture: no clinical data touches AI.
Product & market
Pricing
Flexible enterprise pricing with per-study and platform options
Differentiators
- —No clinical data ever touches AI; AI generates code and execution happens in a separate sandbox
- —8-stage agentic workflow from literature review to publication-ready report
- —Transparent, reproducible outputs with visible generated code and logged transformations
- —Built around medical ontologies and OMOP mapping for messy clinical data
- —Supports R, Python, and SAS so existing biostatistics teams can review code directly
- —Self-improving agents that learn dataset quirks over time
- —Founder-in-the-loop, high-touch customer support and rapid response times
Technology
R
Python
SAS
OMOP CDM
ICD-10
SNOMED
RxNorm
ATC
Databricks
Snowflake
AWS
GCP
Azure
EHR data connectors
Claims data connectors
Registry data connectors
Pharmacy data connectors
Air-gapped sandbox execution
AI agents
Customers
Pharma companies
Biotech companies
CROs
Life sciences teams
HEOR and market access teams
Clinical researchers
Medical affairs teams
Competitors
Databricks
Tableau
Traditional CROs
Generic BI / analytics platforms
Scale & contact
Estimated revenue
≈$330K ARR (GetLatka estimate)
Latest news
Frekil blog · May 2026
Describes Frekil's inspectable, multi-agent approach to RWE and why generic chatbots are insufficient for high-stakes evidence workflows.
Frekil blog · Apr 2026
Explains external control arms and why real-world evidence matters in clinical development.
Fondo · Feb 2026
Launch write-up describing Frekil's earlier medical-imaging annotation platform, 10x faster AI-assisted workflows, and certified radiologist marketplace.
Startup Intros · Apr 2025
Seed round announcement for Frekil; says the company raised $500K and names Y Combinator and 7BC Venture Capital as investors.
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