Run eval experiments at scale in realistic environments on fully managed cloud infrastructureDefine custom task sets to build your private benchmarks, measure how well agents can use any product, and find the best agent-model combinations for your use cases. Generate insights on the fly, such as product interface friction, token inefficiencies, performance differences, and so much more.
A video-style demonstration of building and launching an agent experiment in Oqoqo: describing a task, selecting tasks, configuring agents, treatments, runs and evals, then launching runs on sandboxed machines and reviewing pass and fail results with full step-by-step trajectories.
Configure an experiment: tasks, agents, treatments, rubrics, and headless interfaces.
Configure an experiment: tasks, agents, treatments, rubrics, and headless interfaces.
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This is a simplified, representative recreation. The full Oqoqo product is richer and more nuanced. Explore Oqoqo.
Evaluate any agent, any model, all at once
- Claude Code
- Codex
- Cursor
- GitHub Copilot
- OpenCode
- Grok Build
- OpenClaw
- Pi
- Hermes
Managed infrastructure
Large experiments run quickly and reliably in the cloud on durable workflows and orchestration we manage.
Bring your own models
Connect the model providers and subscriptions you already use, then choose the model for each agent.
Compare treatments
A treatment is the package of tools associated with a product, such as skills, MCP servers, CLIs, and SDKs, so you can compare one package against another.
Rich customizable environments
Each task runs on its own sandboxed machine. Load optional repos and files, and customize the dependencies and tooling as needed.
What you can do with Oqoqo
Agents are becoming software's primary user.Build agent-first products any agent can use.
Point any agent at any product on any real-world agentic task. See every step it took, where it got stuck, and what fixing that is worth.