Find and understand
Search scientific documents, datasets, prior runs, and platform knowledge with source-aware responses.
Agentic AI for life sciences
Scientific work AI for discovery teams.
Clovertex Agent gives scientists, platform teams, and R&D leaders an AI teammate that understands scientific context, enterprise data boundaries, workflow intent, and the infrastructure needed to move from question to action.
Ask. Launch. Govern. Discover.
The agent can recommend, prepare, review, and route scientific work.
Not chatbots. Teammates.
Ask, understand, launch, and govern in one place.
A chatbot waits for a question. A teammate understands the work, the context, the rules, and the next step.
Create and summarize
Draft workflow plans, experiment summaries, run reports, and scientific decision briefs.
Automate scientific work
Prepare launches, data transfers, review steps, launch guides, and approvals.
Govern every step
Respect permissions, cost rules, approval patterns, audit trails, and responsible AI controls.
AI Teammate Library
Purpose-built agents for scientific discovery operations.
Each teammate is designed around a practical research workflow, with governed recommendations, evidence, and handoffs built into the experience.
Metadata Enrichment Agent
Enriches scientific and operational metadata across datasets, documents, workflow runs, and project assets so teams can improve findability, lineage, reuse, governance, and AI-readiness.
View demo storyWorkflow Optimization Agent
Analyzes workflow data, constraints, and model recommendations to identify bottlenecks and recommend faster, more reliable, cost-aware execution paths.
View demo storyHealthOmics Discovery Agent
Helps omics teams discover workflows, understand data readiness, inspect run context, review provenance, and prepare scientific handoffs.
View demo story
How it works
From question to governed action.
Clovertex Agent retrieves approved context, recommends a path, prepares the next action, and keeps the evidence trail visible.
Ask in natural languageUse scientific intent, not infrastructure commands.
Retrieve approved contextProject data, metadata, workflows, policies, and prior runs.
Recommend a pathOptions include assumptions, source context, cost, and constraints.
Review and approveHumans stay in control before launch, publish, or handoff.
Record evidenceActions, parameters, sources, and approvals remain traceable.
Enterprise-grade scientific AI
Fast for scientists. Controlled for the enterprise.
Clovertex Agent is built for sensitive research data, specialized tools, cloud HPC, reproducibility, compliance, and speed.
Permissions-aware answers
Responses respect access controls and approved data boundaries.
Human review
Critical launches, recommendations, and metadata updates can require approval.
Source traceability
Recommendations stay grounded in context, evidence, and reviewable outputs.