Evidence in context
Keep sources, findings, and interpretations connected.
Agentic intelligence for drug development.
Trovensa is being designed to connect scientific evidence, research workflows, and the decisions that advance drug-development programs.
Designed Every product is designed; nothing is available yet.

Three pillars
Research moves through many sources, tools and reviews. Important information sits across publications, electronic lab notebooks, protocols, research reports and specialised software, and the context between them is lost in handoffs.
Keep sources, findings, and interpretations connected.
Carry research context between approved tools and activities.
Make reviewer decisions and agent actions traceable.
Trovensa is an AI-agent platform being designed to help teams investigate evidence, identify open questions, coordinate approved workflows and preserve context as a program develops. Scientists retain control over consequential decisions and approval of generated work.
The products
Keep sources, findings, interpretations and open questions connected.
Carry context between approved tools, plans, records and reviews.
Preserve reviewer decisions and the history of agent actions.
Four stages inside
Four products, three pillars, four stages. The stages are the lifecycle; the pillars are how the work is packaged. Every product serves every stage.
Turn a question into evidence-supported next steps.
Keep the plan, the protocol, the data and the interpretation connected.
Review records against approved procedures, with the source in view.
See the program as one connected picture.
The assertion model
Every statement Trovensa records carries a label so a reader can tell an observed result from an interpretation, an assumption or a suggestion, and a person from an agent.
Does the candidate pathway hold across the cited studies?
Illustrative example; Trovensa is being designed and has not been built or validated.
Claims discipline
Trovensa would assist scientists, development teams, quality reviewers and manufacturing specialists. It does not claim to independently validate a therapy, authorise its use or guarantee successful development.
Read the prefer and avoid table