Frekil

Founded by Nikhil Tiwari in 2024

Generate real-world evidence and analyze clinical patient data using automated statistical workflows

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Frekil to run real-world evidence studies directly on your clinical data. It connects to electronic health records, claims, and registries to design study protocols, build patient cohorts, and generate statistical code. You can test clinical hypotheses, detect drug safety signals, and evaluate treatment effectiveness without writing complex queries manually. The system keeps patient data secure in an isolated sandbox while generating reproducible statistical scripts in R, Python, and SAS. Non-technical researchers can define study parameters using everyday clinical language.

What Frekil does

Extract patient cohorts based on inclusion and exclusion criteriaGenerate statistical analysis plans from research questionsMap healthcare data terminologies to standard OMOP vocabulariesRun survival analyses and hazard ratio calculationsDraft automated clinical study report summariesBuild causal directed acyclic graphs to evaluate confoundingExecute sandboxed statistical scripts against cloud data warehousesTranslates natural language questions into statistical analysis plansGenerates verifiable statistical code in R, Python, and SASMaps raw health data to standardized OMOP common data modelsResolves clinical synonyms and codes across ICD-10, SNOMED, and RxNormExecutes code in an isolated sandbox with zero patient data exposure to AIAutomates patient cohort extraction and causal diagram constructionProduces publication-ready tables, figures, and listings automatically

Pricing breakdown

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Tutorials & Demos

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Databricks

Snowflake

AWS

Microsoft Azure

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