Tenvia Clinical Agents
Clinical development, operated through intelligent agents.
Tenvia assembles specialist clinical intelligence around the objective you are trying to achieve while preserving evidence, permissions and human authority.
Design my study.
One Study Agent
The study is the organising principle.
The Study Agent works from the governed study state rather than a loose conversation history. Objectives, protocol, evidence, assumptions, decisions, vendors, systems, performance and amendments remain connected through the Study Graph.
Not separate AI personalities. Specialist capabilities inside one governed operating model.Specialist clinical intelligence
Assemble the work the objective requires.
Each capability receives only the study context, tools and permissions required for its task.
Protocol Intelligence
Understands the proposed design and surfaces its scientific and operational consequences.
Evidence
Retrieves relevant precedent and keeps sources, match logic and limitations attached.
Regulatory
Surfaces relevant guidance and public regulatory context for qualified review.
Feasibility
Tests recruitment, countries, sites and delivery assumptions against the study.
Technology
Derives system requirements created by the approved study design.
Procurement
Structures vendor requirements and normalises responses for comparison.
Study Oversight
Explains what changed, why it matters and what the team may consider next.
From general intelligence to governed clinical intelligence
Generic AI gives your team intelligence. Tenvia gives that intelligence a governed understanding of the study.
If a user cannot access a study, document or connected system record, the agent is designed not to make it accessible simply because AI is involved.
Explore Security & TrustBring a real objective
What would you ask Tenvia to accomplish?
Start with a study concept, protocol or active trial. We will map the specialist intelligence, evidence, systems and approval boundaries required.
Illustrative interfaces describe the intended product architecture and workflow. They do not imply every agent or external action is currently production-ready.