Regulatory intelligence platform for life sciences compliance teams
Redica Systems aggregates FDA and global health authority inspection data—sourced from hundreds of regulators and FOIA records—into an intelligence platform for quality and compliance teams. The tech stack (Python + FastAPI + React + AWS) reflects a data-intensive, API-first architecture. Active hiring is engineering-heavy (6 of 9 roles) weighted toward staff-level engineers, paired with a backend API project focused on generative AI—suggesting the company is scaling toward automation of regulatory decision-making rather than pure data delivery.
Redica Systems builds compliance intelligence software for pharma, biopharma, medtech, medical device, and food and cosmetics companies. The platform aggregates regulatory inspection records, FDA enforcement data, and Form 483 findings into dashboards and analytics tools that help quality and regulatory teams reduce compliance risk and stay ahead of evolving global regulations. The company serves over 200 customers, including 19 of the top 20 pharma companies and 9 of the top 10 medical device manufacturers. Founded in 2010 and based in Pleasanton, California, Redica is transitioning from its Catalyst Platform toward an integrated Intelligence Cloud that combines internal and external regulatory datasets.
Redica's core stack includes Python, FastAPI, and Flask for backend services; React and Next.js for frontend; PostgreSQL for data; and AWS infrastructure (ECS, Lambda, CloudFront, API Gateway) for deployment and scaling.
Active projects include an AI-driven quality and regulatory intelligence (QRI) platform, backend API development for generative AI, a quality metrics tracking system, and QA process design—pointing toward automated regulatory decision support.
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