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Peer AI Secures $12.1 Million to Advance AI-Powered Regulatory Documentation for Life Sciences

Peer AI, a cutting-edge provider of agentic AI solutions for regulatory documentation in the life sciences sector, has raised $12.1 million in funding to accelerate product development and expand its operations.

The funding round was led by Flare Capital Partners and SignalFire, with participation from Greycroft, Atria, Alumni Ventures, Gaingels, and Mana Ventures, alongside notable angel investors.

Transforming Life Sciences Documentation with Agentic AI

Founded and led by CEO Anita Modi, Peer AI is building an intelligent, domain-specific AI platform designed to revolutionize how life sciences organizations manage regulatory documentation. The company’s platform integrates purpose-built AI agents with an intuitive AI-powered user interface, empowering medical writers and regulatory professionals to maintain control and accuracy at key stages of the documentation process.

Through Peer AI, pharmaceutical companies and emerging biotechs can dramatically reduce documentation time and enhance the quality of submissions across pre-clinical, clinical, regulatory affairs, and chemistry, manufacturing, and controls (CMC) functions.

Driving Efficiency and Quality in Life Sciences

By automating complex workflows and enhancing human expertise, Peer AI enables teams to streamline regulatory writing and ensure compliance with ever-evolving global standards. The platform’s intelligent agents act as collaborative partners—assisting with data structuring, content consistency, and document generation—while allowing human oversight where it matters most.

Strategic Investment for Continued Growth

With the latest round of funding, Peer AI plans to scale its engineering and product teams, strengthen its AI-driven capabilities, and expand its footprint across key life sciences markets.

Peer AI’s innovation arrives at a critical time for the biopharmaceutical industry, where regulatory documentation is increasingly complex and time-sensitive. By blending automation with expert human input, the company aims to redefine how life sciences organizations prepare, review, and submit regulatory materials.

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