Oqoqo is an AI experimentation platform designed for building custom evaluations and benchmarks, enabling developers to test agent performance against real-world tasks in managed, isolated cloud environments.
What the product does and how it is positioned
Oqoqo provides infrastructure for software teams to evaluate how AI agents interact with their products by simulating real-world tasks to identify friction points and optimize model efficiency.
The platform enables users to define specific tasks and success criteria, which are executed by agents within sandboxed environments to generate detailed insights and resource consumption data.
Source-supported ways to use the product
Teams assess how effectively AI agents navigate and utilize web interfaces, APIs, or SDKs to complete user-defined tasks.
Developers run identical tasks across various models and agent configurations to determine performance reliability and efficiency.
The documented workflow, where available
Users define real-world work, success criteria, and rubrics for the AI agents to perform.
The platform spins up isolated sandboxes to execute tasks and capture full interaction trajectories.
Oqoqo operates by executing agent experiments in fresh, isolated environments. Each trial captures the agent's full interaction trajectory, which is then analyzed to grade performance against established requirements.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
The platform supports testing AI agents against a variety of product interfaces, including web interfaces, command-line interfaces (CLI), software development kits (SDK), and APIs.
Oqoqo captures the full trajectory of an agent's attempt, including every tool call, command executed, and error encountered, allowing developers to see exactly where and why an agent halted.
Yes, the platform supports CI/CD integration, allowing teams to incorporate experiments directly into their pipelines to continuously validate agent workflows.
Yes, Oqoqo allows users to create private benchmarks, ensuring that the task sets and rubrics developed by the team remain proprietary and under their control.
Yes, the platform documents token consumption and cost for each experiment, helping teams identify inefficiencies in how agents interact with their products.
