Done. I took your definition and deployed it on managed infrastructure.
It's live. The harness decides when to call tools, manages context, and recovers from errors. Call the agent endpoint, sandboxing and auth are handled for you.
Skip the months of infrastructure work. Define your agent's tasks, tools, and guardrails, and we run it on managed infrastructure with sandboxing, long-running sessions, scoped permissions, and tracing built in. Model agnostic, with model mixture that blends the best of every model, and a custom harness tuned to your needs.
See it in action. Click around
Secure sandboxing, authentication, and tool execution handled for you. Define tasks, tools, and guardrails, and we run the agent on managed infrastructure.
Never locked to one provider. Run on any frontier model, or let model mixture blend the best of several inside a single agent for stronger outcomes.
Agents operate autonomously for hours, with progress and outputs that persist even through disconnections. A built-in harness manages context and recovers from errors.
Give agents access to real systems with scoped permissions, identity management, and execution tracing built in. Inspect every tool call, decision, and failure mode.
A program-search process explores and tunes the harness, tools, and prompts against your success criteria, producing a custom harness fitted to your workload.
Agents spin up and direct other agents to parallelize complex work. Define outcomes and success criteria, and the agent self-evaluates and iterates until it gets there.
Done. I took your definition and deployed it on managed infrastructure.
It's live. The harness decides when to call tools, manages context, and recovers from errors. Call the agent endpoint, sandboxing and auth are handled for you.
Go from an agent idea to a production deployment running on managed infrastructure
Describe your agent's tasks, tools, and guardrails. Pick any model, or let model mixture blend the best of several. No infrastructure to wire up, no agent loop to rebuild for every model upgrade.


Set your outcomes and success criteria. A program-search process automatically explores and tunes the harness, tools, and prompts against your goals, producing a custom harness fitted to your workload, not a one-size-fits-all loop.
Ship it behind a clean API on managed infrastructure. Sandboxed execution, long-running sessions, multi-agent coordination, scoped permissions, and full execution tracing, all handled, so your team focuses on the product, not the plumbing.

Delegate open-ended, complex tasks to agents inside your product. Dozens of tasks run in parallel while your users stay focused on the output, not the plumbing.
Stop maintaining bespoke agent infrastructure. Get sandboxing, sessions, and scoped permissions handled, on any model or a mixture, with a harness you can customize.
Read a codebase, plan a fix, and open a PR. Long-running sessions handle the heavy lifting so developers go from a flagged bug to a reviewable fix in one flow.
CJoin a project, pick up tasks, and deliver work alongside the team, from slides and spreadsheets to full apps, generated in sandboxed environments.
PFinance and legal agents that process documents, extract what matters, and code up any tool they need on the fly to answer virtually any query.
DModel agnostic means your agent is never locked to one provider. Run it on any frontier model, and switch without reworking your agent loop.
Model mixture goes further: it blends the best of multiple models inside a single agent, routing each step to the model that handles it best, so you get stronger outcomes than any single model alone.
A built-in orchestration harness decides when to call tools, how to manage context, and how to recover from errors. You get sandboxed code execution, checkpointing, credential management, scoped permissions, and end-to-end tracing out of the box.
Long-running sessions operate autonomously for hours, persisting progress and outputs even through disconnections.