Agents across the full research cycle
Zerve’s AI Co-Researcher manages subagents for ideation, systematic review, coding, analysis, charting, review, replication, and drafting outputs.
Zerve brings agents, code, compute, data, and collaboration into one reproducible research environment.
Start your research todayWith Zerve’s research harness, use any model, orchestrate compute at scale, and run agents in parallel across multiple lines of inquiry.
Zerve’s AI Co-Researcher manages subagents for ideation, systematic review, coding, analysis, charting, review, replication, and drafting outputs.
Learnings are documented and organised continuously as agents work, so insights carry across every project.
We allow multiple agents to manage, orchestrate and execute computational workloads in parallel.
Zerve can run with different foundation models, allowing researchers and institutions to choose the models that fit their needs.
Research data, code, models, and intellectual property often cannot leave an institution. Zerve can run in the cloud, private cloud, or fully self-hosted environments.
Join the world’s top researchers












Serious institutional research needs more than agents — it needs infrastructure that matches the sensitivity of the work. Zerve runs wherever your data needs to stay.
Control who can view, edit, run, and review research workflows.
Run Zerve in the cloud, private cloud, or self-hosted environments.
Every run, fully tied to the research process.
Researchers, reviewers, and agents work in one shared environment.
Try Zerve with 300 free credits, or apply for the fellowship for additional credits and support.