Enterprise

Agentic AI for Regulated Pharma Environments

Deploy trusted AI agents across R&D, clinical, and regulatory teams grounded in validated pharma data. 

  • Agentic AI built for scientific rigor and regulatory scrutiny
  • Accelerate evidence discovery and research reuse
  • Automate workflows to advance discovery and development
  • Improve traceability for audits and inspections  
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See how Enterprise Agentic AI works with your data, your security model, and your use cases. 

See Enterprise Agentic AI in Action

Why AI Falls Short with Critical Pharma Knowledge

Pharma teams struggle when critical knowledge is scattered across studies, submissions, systems and trials and AI outputs must be fully traceable. 

Generic AI tools lack grounding, governance, and auditability, making them unsafe for regulated life sciences environments. 

Agentic AI Built for Pharma Needs

Sinequa by ChapsVision enables governed AI agents grounded in trusted internal data helping pharma teams find answers faster without compromising compliance. What makes it different: 

AI Agents for R&D & Research

  • Discover relevant studies, protocols, and results faster 
  • Reuse prior research and institutional knowledge 

AI Agents for Clinical & Regulatory

  • Surface evidence across submissions and trial documentation
  • Improve traceability for audits and inspections

Governance & Compliance by Design

  • Enforce access rights at every query 
  •  Maintain full traceability and explainability  

Built for Enterprise Scale

  • Handles millions of documents and datasets 
  •  Connects across R&D, clinical, regulatory, and quality systems 

Why Pharma Leaders Choose Sinequa

  • AI agents grounded in trusted internal data
  • Designed for regulated life sciences environments
  • Proven enterprise deployments
  • Clear path from search to agentic AI 
Sinequa by ChapsVision enables trusted AI adoption in pharma from research to regulation. 

Experience Trusted Agentic AI in Action

See how our Enterprise Agentic AI platform works with your pharma data, security model, and compliance requirements.