Peer AI, a leader in agentic artificial intelligence for life sciences regulatory documentation, announced it has raised $12.1 million in funding to transform how drug developers create, review, and submit regulatory documents. The funding round was led by Flare Capital Partners and SignalFire, with participation from Greycroft, Atria, Alumni Ventures, Gaingels, and Mana Ventures.
Peer AI’s platform is designed to address one of the most persistent bottlenecks in drug development—regulatory documentation. Every new drug requires more than 200,000 pages across 1,500 unique documents, including protocols, clinical study reports (CSRs), and investigational new drug (IND) applications.
Manual workflows and fragmented data systems often lead to missing information, inconsistencies, and costly delays. Industry statistics show that nearly one-third of FDA submissions contain quality issues, with approximately 75% of applications rejected, resulting in an average delay of 435 days for approvals.
The Peer AI platform deploys domain-specific AI agents that work in tandem with human-in-the-loop control points, ensuring speed, accuracy, and compliance throughout the documentation process. Unlike traditional AI models that lack contextual precision, Peer AI integrates regulatory expertise with automation, enabling experts to verify, validate, and maintain quality at every step.
Pharmaceutical and biotech organizations using Peer AI have already reported dramatic efficiency gains. Customers are reducing drafting time for CSRs from 40 days to 17 and cutting protocol turnaround from 6–8 weeks to just one week. Across early adopters, documentation speed has improved by 55–94%, while platform use has grown threefold over 2025, underscoring strong market traction.
Peer AI’s modular system features specialized agents for key tasks such as data extraction, content authoring, formatting, and compliance validation. Data source agents pull structured information from databases and reports, authoring agents generate accurate drafts, style agents ensure regulatory consistency, and post-processing agents conduct final validation checks. This integrated architecture allows medical writing teams to produce large volumes of regulatory content with greater accuracy and fewer errors.
The company’s $12.1 million raise will accelerate product development, expand commercial operations, and further scale adoption across the $15 billion global market for regulatory documentation. Founded by industry veterans with decades of experience in AI and life sciences, Peer AI is building the infrastructure for a new generation of intelligent, compliant, and connected regulatory workflows.
Peer AI’s leadership team is supported by an advisory board that includes Ariel Katz, CEO and co-founder of H1, Brian Longo, a veteran life sciences advisor and former executive at Veeva Systems, and Hanlin Tang, co-founder of MosaicML and current CTO for Neural Networks at Databricks.
KEY QUOTES:
“Our vision is to create an intelligent regulatory workflow that connects documentation, data, and decision-making to speed drug approvals. Documentation drives every step of the drug development process. We’re putting agentic AI in the hands of expert medical writers to create documents faster, improve quality, and, ultimately, accelerate treatments to patients.”
Anita Modi, CEO and Co-Founder, Peer AI
“We see enormous opportunity in GenAI-based tools to unlock value in drug discovery and clinical development processes, including automating the end-to-end process of regulatory documentation. Peer AI’s distinctive approach and specialized agentic AI platform are shaped by in-house medical writer expertise. They’re already demonstrating strong early client engagement and poised to become a category-defining platform.”
Ian Chiang, Partner, Flare Capital Partners
“The Peer AI team’s deep expertise across life sciences and AI uniquely positions them to drive greater efficiency in the entire drug development workflow. They’re establishing the foundational regulatory backbone for life sciences to transform a historically fragmented, manual process with a unified agentic platform and intuitive user experience that brings experts in the loop at the right times.”
Sooah Cho, Partner, SignalFire
