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Peer AI

8 known investors

Find your way into Peer AI

727 people in our graph share verified history with the Peer AI team — schools, employers, funds. One of them is your warm intro.

Ken Chenaultunlockedknows Anita Modi · together at Chief (overlapped)
×3knows the team · via Barclays
knows the team · via Chief
×2knows the team · via Medable
×3knows the team · via University of Houston
×2knows the team · via The Harker School

Peer AI builds AI-powered tools for drug development and clinical research, with a focus on medical writing and regulatory work. It serves life sciences and pharma organizations, combining generative AI with expertise in data protection and privacy.

Also known as Peer AI

Founders & leadership

AMAnita Modi
Anita ModiinCo-Founder & CEOAnita Modi studied computational biology at Princeton and earned an MBA from Harvard Business School. She has worked in clinical operations and life sciences technology roles, including involvement with biotech companies that underwent significant funding events and acquisitions, before co-founding Peer AI.
CCChris Ceppi
Chris CeppiCo-Founder, CTO & COO
RRRavi Ramachandran
Ravi RamachandraninCo-Founder & Chief Scientific and Regulatory OfficerRavi Ramachandran holds a PhD in Biology and spent over two decades in drug development and clinical research at companies including Vertex, Apellis, and PPD before co-founding Peer AI, which develops AI tools for regulatory documentation in life sciences.

Investors · 8

Also in the syndicate · 1

Atria

Funding

SEC filings, press & company announcements

$12.1M disclosed across 1 round · 2025

Source: company announcements and press reports — follow each round's link for the claim.

Company profile

researched Aug 2026

Peer AI develops an AI authoring platform for regulatory submissions in the life sciences. The product uses document-specific AI agents to produce filing-quality content across pre-clinical, CMC and clinical documentation, including IND modules, Phase 3 clinical study reports, protocols and safety narratives, with human expert review built into the workflow. The company states that outputs are intended to reduce review cycles and match the quality of a team's most experienced medical writer.

Beyond drafting, the platform includes an orchestration layer that surfaces dependencies, bottlenecks, capacity constraints and risks across a program in real time, routing issues to the responsible person with recommended actions. A predictive component aims to anticipate the queries regulatory reviewers are likely to raise before a submission is filed, and to retain institutional knowledge by tracing the reasoning behind each AI decision so that subsequent filings benefit from prior submission outcomes. Every AI output is traceable back to its underlying source data.

The platform is designed to fit existing enterprise processes, working with customer templates, style guides and data sources through API and MCP integrations.

Business model

Peer AI offers an enterprise software platform sold to life sciences organizations, with sales handled through scheduled demos and deployment either in Peer AI's cloud or inside the customer's own AWS environment.

Traction

The company publishes customer stories and states that its team includes more than 10 medical and technical writers with over 100 years of combined regulatory expertise.

Full profile — market position, technology, go-to-market

Market position

Peer AI competes in the regulatory AI segment, contrasting its predictive, pre-filing approach with tools that assist only after reviewer questions arrive.

The company positions itself on breadth of document coverage across pre-clinical, CMC and clinical filings, end-to-end traceability of AI outputs, predictive identification of likely reviewer queries prior to filing, and combining agentic automation with human expert review rather than static rule-based automation.

Technology

The platform is built on purpose-built agentic AI, with specialized agents per document type, defined human control points, and traceability linking each output back to source data and reasoning. It integrates with customer templates, style guides and data sources via APIs and MCP. Security controls include encryption at rest, a secure SDLC, segmented VPCs, IAM-based access control and continuous monitoring on AWS infrastructure, and the company states SOC 2 and GDPR compliance along with zero data retention policies under which customer data is not used for model training.

Go-to-market

Direct enterprise motion centered on demo requests and customer references, supported by flexible deployment options for security- and compliance-sensitive buyers.

Life sciences and pharmaceutical organizations with regulatory, medical writing and clinical documentation functions.

Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Regulatory writing staffJan 202510 medical and technical writers

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

In the news

Research sources · 1

primary sources listed

1 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Peer AI do?
Peer AI is an AI authoring platform that drafts and orchestrates regulatory submission documents for life sciences teams.
Who founded Peer AI?
Peer AI was founded by Anita Modi, Chris Ceppi, Ravi Ramachandran.
Who are Peer AI's investors?
Peer AI's investors include Flare Capital Partners, Alumni Ventures, Atria Ventures, Gaingels, Greycroft, Mana Ventures, SignalFire.
How much funding has Peer AI raised?
Peer AI has disclosed $12.1M raised across 1 round.