Frekil

Founded by Nikhil Tiwari in 2024

Generate real-world clinical evidence from raw patient data in minutes

Cost

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Frekil to automate the entire real-world evidence (RWE) pipeline for life sciences research. Connect your EHR, claims, or registry data, then run studies using plain language — Frekil handles cohort building, causal DAG construction, statistical analysis plan generation, and report writing. AI generates R, Python, or SAS code that runs in a sandboxed environment without touching patient data. Used by pharma, biotech, CROs, and research institutions for comparative effectiveness, post-market safety, and label expansion.

What Frekil does

Build patient cohorts from EHR, claims, or registry data using natural languageGenerate and execute statistical analysis plans in R, Python, or SASMap raw clinical data to OMOP CDM automaticallyConstruct causal DAGs to guide confounding adjustmentRun survival analyses, comparative effectiveness studies, and safety signal detectionProduce publication-ready reports with auditable trace from raw data to resultsConnect to Databricks, Snowflake, or cloud data warehouses without moving dataTest research hypotheses rapidly before committing to full RWE studiesAI generates statistical code (R, Python, SAS) that runs in a sandboxed environment — patient data never touches AI modelsSelf-improving agents that learn your dataset structure with every study runNatural language study initiation — describe population, exposure, comparator, and outcome in plain textAutomatic mapping to OMOP CDM with medical ontology support (ICD-10, SNOMED, RxNorm, ATC)8-stage automated pipeline from literature review through report writingBuilt-in causal DAG builder and statistical analysis plan (SAP) generatorHandles immortal time bias, missing data, and coding inconsistencies automaticallyConnects directly to existing data warehouses — no data migration needed

Tutorials & Demos

Frequently asked

Databricks

Snowflake

AWS

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