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AI agents that work where your code lives

Run AI agents on infrastructure you already control — your hardware or your cloud — inside the tools your team already uses. Manage everything from one console, with full visibility into what every agent does and costs.

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The Olyros Code platform

Adopt AI without giving up control

Most teams stall on the same three problems: agents need access to real code and data, nobody can see what they cost, and security teams (rightly) object. Olyros Code was built to solve exactly that.

Runs on your infrastructure

Agents execute in isolated containers on your own hardware or in your own cloud account — Google Cloud and AWS today, Azure coming soon. Your code and data never leave your environment.

Works in your workflow

Label a GitHub or Jira ticket and an agent picks it up, does the work, and opens a pull request under its own identity. Chat with agents in Slack, or run skills as simple tools — nothing to install, no credentials to handle.

Governed and cost-tracked

See what every agent costs — metered by agent, model, and channel. Your security team gets the controls to say yes: role-based access, SSO, audit logs, and short-lived scoped credentials, all standard.
Consulting

The technology is ready. Most organizations aren’t — yet.

Good management unlocks a worker’s potential, and the same is true for AI agents. The gap between teams that struggle with AI and teams that multiply their output is rarely the model — it’s how the work is organized. We help with both.

Executive AI advisory

For leadership teams designing an organization of human and AI workers: where AI creates real leverage, how to sequence adoption, and how to lead the change.

Technical consulting

Hands-on adoption for the teams doing the work — engineering, QA, product, and non-technical and education teams — delivered by the builders of Olyros Code.

See it working with your own repositories

Signup is open, and a conversation costs nothing. Bring one workflow you wish an agent could own, and we’ll show you what that looks like in practice.

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