Tribal Bio
Tribal Bio provides an AI-native regulatory platform that carries drug candidates from asset selection through to eCTD-compliant regulatory submission. The platform combines plain-English querying, evidence-linked document co-authoring, and agentic quality control, with recommendations grounded in FDA precedents and reviewed by ex-FDA and large pharma consultants.
- Artificial Intelligence
- Regulatory & Compliance Technology
- Biotechnology
- AI Agents
- Drug Discovery & Therapeutics
- Software Only
- Healthcare Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Biotech teams face a fragmented workflow when moving a drug candidate from asset selection to regulatory filing, often switching between multiple tools for searching, evaluation, document drafting, and submission preparation. This inefficiency consumes budget and headcount, delaying filings and increasing the risk of errors or missing data that reviewers will flag.
Solution
Tribal Bio provides a single AI-native platform that carries an asset from first search to filed submission. Users can ask questions in plain English or filter by fields, and the platform reads public, licensed, and internal sources together to return a ranked shortlist with evidence behind every score. The document editor lets users request changes in a sentence, and Tribal rewrites affected passages as tracked edits with sources attached, so nothing enters the dossier until accepted. The platform is built to eCTD structure from the first draft, flags gaps before reviewers find them, and maintains one audit trail across the entire programme. Recommendations are grounded in FDA precedents, including approved labels and prior submissions, and drafts are reviewed by a network of 20+ consultants with regulatory strategy, CMC, and quality expertise.
Target Audience
Primary users are biotech companies moving a programme from asset selection to filing without adding headcount, as well as consultancies and CROs that need to deliver more programmes per team with consistent evidence standards and client-ready output.
Features
- Plain-English querying and field-based screening across public, licensed, and internal data sources with ranked asset scores and evidence behind each score
- Document editor that applies requested changes as redlined tracked edits, with every insertion carrying its source citation
- Automatic cross-reference and table updates when passages are edited
- Gap detection that flags missing submission data before regulatory review
- eCTD-compliant drafting from the first draft, eliminating later reformatting
- One unified audit trail spanning asset search, evaluation, and document preparation
- AI agents that check completeness, source support, and consistency across sections, surfacing conflicting values as findings
- Recommendations grounded in FDA precedent, including approved labels, review documents, and prior submissions for similar programmes