
Codified is a generative AI governance platform designed to plug data leaks in AI applications. It addresses concerns about Gen AI oversharing sensitive information, such as Personally Identifiable Information (PII), confidential business data, trade secrets, and intellectual property. Traditional methods of data access control are time-consuming and prone to errors, often leading to incomplete insights. Codified offers a fast, secure, and scalable solution by classifying sensitive information, codifying consistent policies across data sources, and applying right-sized permissions. The platform organizes data into human-actionable categories and user cohorts, inspects current access levels, suggests compliance-based policy changes, and securely exposes Access Control Lists (ACLs) to Generative AI applications, preventing data exposure without hindering productivity.

Codified is a generative AI governance platform designed to plug data leaks in AI applications. It addresses concerns about Gen AI oversharing sensitive information, such as Personally Identifiable Information (PII), confidential business data, trade secrets, and intellectual property. Traditional methods of data access control are time-consuming and prone to errors, often leading to incomplete insights. Codified offers a fast, secure, and scalable solution by classifying sensitive information, codifying consistent policies across data sources, and applying right-sized permissions. The platform organizes data into human-actionable categories and user cohorts, inspects current access levels, suggests compliance-based policy changes, and securely exposes Access Control Lists (ACLs) to Generative AI applications, preventing data exposure without hindering productivity.
What they do: Generative AI data-access governance platform that prevents sensitive data leakage to AI applications
Customer value: Classifies sensitive information, codifies plain-English policies, and enforces right-sized permissions across data estates
Stage / funding: Seed stage; reported ~$4.0M total funding
Team size: ~10 employees
HQ / founding year: Seattle; founded 2023
Data access governance for Generative AI and applications; preventing sensitive-data leakage and simplifying policy enforcement across data estates.
2023
Enterprise software / Data governance / AI governance
4000000.00 USD
Reported seed round with investor participation from Madrona Venture Labs, Vine Ventures, and Soma Capital referenced in company materials
“Backers and advisors include Madrona (S. Somasegar), Vine Ventures (Eric Reiner), Soma Capital, Bob Muglia, Shireesh Thota, Ali Ghodsi, Arnab Bose, John 'JG' Chirapurath, and Ted Kummert”