Peer AI provides a unified, AI‑driven platform that assists regulatory affairs teams in drafting, reviewing, and submitting drug development dossiers. Specialized generative AI agents produce high‑quality text for all document types—from IND modules to Phase 3 CSR and safety narratives—while end‑to‑end traceability links each output to its source data and predictive analytics flag likely reviewer questions, enabling proactive revisions and faster, more reliable submissions.
Funding
$12.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
5OFounders
Product
Problem
Preparing regulatory submissions for drug development involves extensive document drafting across pre‑clinical, CMC, and clinical phases, requiring expert writers and iterative review cycles. Delays and inconsistencies arise from manual processes, limited traceability of AI‑generated content, and the inability to anticipate reviewer questions before filing.
Solution
Peer AI offers a unified AI‑driven platform that assists regulatory teams from the first draft through final submission. Purpose‑built generative AI agents specialize in each document type—IND modules, Phase 3 CSRs, protocols, safety narratives, and more—producing text that matches the quality of top medical writers. The system provides end‑to‑end traceability, linking every AI output to its source data and reasoning, while allowing precise human control points throughout the workflow. Predictive intelligence analyzes prior review outcomes to surface likely reviewer queries before filing, enabling proactive revisions. All outputs are organized within a single platform that integrates with existing regulatory workflows, reducing review cycles and accelerating time‑to‑submission.
Target Audience
Primary users are regulatory affairs teams, medical writers, and drug development project managers within pharmaceutical and biotech companies who need to produce high‑quality submission dossiers efficiently.
Features
- Specialized generative AI agents for every regulatory document type across pre‑clinical, CMC, and clinical phases
- Full lifecycle platform covering draft creation, review, and submission in one unified system
- End‑to‑end traceability linking AI decisions and content to source data and rationale
- Predictive analytics that forecast reviewer questions and suggest pre‑emptive edits
- Human‑in‑the‑loop controls allowing experts to guide, edit, and approve AI‑generated text
- Integration hooks to fit existing regulatory authoring and submission workflows