Drug development is knowledge orchestration
Weave connects source data, documents, and teams in real time, carrying regulatory context forward from authoring to communication.
Expert-led AI
The question isn’t what AI can do. It’s what it should do. Weave assembles the knowledge so your scientists can shape the argument.
Proof in Practice
8
FDA submissions completed
60%
overall timeline compression
50+
drug development programs supported
Trusted by the best
Customer
stories
AI built for the work behind every submission
Empower your team with purpose-built AI tools for the full regulatory lifecycle. From early portfolio planning to dossier authoring and health authority response.
- Candidate
- Pre-Clinical
- Clinical
- Market
- Post-Market
Candidate – Market
Launching Q4 2026
Program Planner
- Portfolio intelligence
- Project management
- Regulatory planning
- Submission simulation
Pre-Clinical – Market
Submission Builder
Explore Submission Builder- Briefing books
- Investigator brochures
- Protocols
- Annual reports
- NDAs / BLAs
- INDs
- CTAs
- CSRs
- Amendments
- MAAs
Clinical – Market
HAQ Manager
Explore HAQ Manager- Question intake
- Collaboration and tracking
- Response generation
For biotech, pharma, and CRO teams
Biotech
Build connected regulatory content and maintain continuity as programs and teams scale.
- Scale from first program to growing pipeline
- Keep source content and dossier work connected
- Reduce manual work across authoring and review
Pharma
Orchestrate multi-program workflows with advanced integration and management.
- Support enterprise permissions and integrations
- Manage complex work across programs and teams
- Maintain continuity across documents and jurisdictions
CROs & consultants
Deliver more value to clients with a white-labeled collaborative platform.
- Move reviews forward faster
- Keep client work separate and secure
- Scale delivery across sponsor engagements.
Privacy & Security
The Weave Platform is designed to protect customer data across connected authoring, dossier management, review, and health authority responses.
Enterprise security
Encryption in transit and at rest
SAML-compatible SSO, MFA, and role-based access
Continuous monitoring and controlled access
Responsible AI
Zero data retention with LLM providers
No customer data used to train AI models
Segregated customer environments
Protection designed for sensitive data.
Independently assessed security controls.