XevyoSolutions · Life sciences
AI in life sciences: research you can trace back to the evidence
For pharma and biotech teams, Xevyo builds research solutions where fixed rules and trusted databases do the science, generative AI only writes the text, and every result says where its evidence came from.
Inside: a drug-discovery research solution built on Xevyo
| Team | What it does |
|---|---|
| Discovery | Ranks the targets a medicine could act on for a disease, screens a drug against 23,554 proteins, predicts how a drug behaves in the body, and finds research on how lifestyle and environment switch genes on or off |
| Evidence | Collects proof from trusted research libraries and two separate databases, separating known findings from new ones |
| Preparation | Turns a drug name into its official ID and prepares its structure for testing |
| Language | Writes gene briefings, explains why a target ranked where it did, and answers questions in a chat that explains 86 scientific terms |
| Governance | Reviews AI-written text before a scientist sees it, spots when sources disagree, and labels every result: evidence found, no evidence found, or source unavailable |
AI for pharma that doesn't make up evidence
Only the language agents use generative AI. Everything else follows fixed rules and trusted data, and the evidence agents collect proof from trusted public science databases rather than generating it.
More from the same platform
The same platform also gives research teams Chat for literature questions and reports, AI contract review for research contracts and an investor data room for investor reporting.
Ready-made agents for your research platform.
Evidence you can cite, reviewed by people, from published research. Watch each one work on sample data, try it on yours, then ship it under your brand.
- Knowledge FeedKeeps a website or paper up to date, emails you after every fetch, and answers with citations.
- Knowledge GraphPublished research in; clinician-reviewed, cited findings out.
- Literature EvidenceReal PubMed answers on a gene and a disease, never invented citations.
- Evidence GuardrailChecks an AI-written drug-discovery report against its evidence before a scientist reads it.
- Target AnnotationWhat a protein target does and where it sits, from UniProt.
- Ligand PrepA drug’s structure in, a checked 3D ligand out, ready for docking.
- ADMET ProfilerHow a drug is absorbed, spread, broken down and removed, and whether it could harm.
- Epigenetics EvidenceHow lifestyle and environment switch genes on or off in a disease, from published studies.
FAQ
Questions, answered.
How is AI used in life sciences?
AI in life sciences ranks drug targets, screens drugs against proteins, predicts drug behaviour and summarises research. In the solution built on Xevyo, fixed rules and trusted databases do this work and generative AI only writes the text.
Does the AI make up evidence?
No. Evidence comes from trusted public science databases, and every result is labelled: evidence found, no evidence found, or source unavailable.
Can scientists ask questions about their results?
Yes. A chat assistant answers questions about a user's past results and explains 86 scientific terms.