Production Agents in Days, Not Months, Model Agnostic

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.

Drop your work email and we'll set up a kickoff to deploy your agents

Any Integration You Can Imagine

Define, Tune, and Deploy Agents

See it in action. Click around

Production-Grade InfrastructureProduction-Grade

Secure sandboxing, authentication, and tool execution handled for you. Define tasks, tools, and guardrails, and we run the agent on managed infrastructure.

Model Agnostic & Model MixtureAny Model

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.

Long-Running SessionsLong Sessions

Agents operate autonomously for hours, with progress and outputs that persist even through disconnections. A built-in harness manages context and recovers from errors.

Trusted GovernanceGovernance

Give agents access to real systems with scoped permissions, identity management, and execution tracing built in. Inspect every tool call, decision, and failure mode.

Custom Harness

A program-search process explores and tunes the harness, tools, and prompts against your success criteria, producing a custom harness fitted to your workload.

Multi-Agent Coordination

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.

I have a support agent prototype. I need it running in production with sandboxing, auth, and tool execution, without building all that infra myself.

Done. I took your definition and deployed it on managed infrastructure.

✓Read your agent's tasks, tools, and guardrails
✓Provisioned a secure execution sandbox
✓Wired authentication and scoped tool access
✓Attached the orchestration harness
✓Deployed behind a clean API endpoint

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.

Everything Handled for You

How It Works

Go from an agent idea to a production deployment running on managed infrastructure

01

Define Your Agent

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.

Define your agent
02
Tune with program search

Tune With Program Search

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.

03

Deploy to Production

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.

Deploy to production
Who it's for

Built for
Teams Shipping Agents

Any
Model
✦Product Teams

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.

â—ˆPlatform Engineers

Stop maintaining bespoke agent infrastructure. Get sandboxing, sessions, and scoped permissions handled, on any model or a mixture, with a harness you can customize.

01

CODING AGENTS

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.

C
02

PRODUCTIVITY AGENTS

Join a project, pick up tasks, and deliver work alongside the team, from slides and spreadsheets to full apps, generated in sandboxed environments.

P
03

DOCUMENT AGENTS

Finance and legal agents that process documents, extract what matters, and code up any tool they need on the fly to answer virtually any query.

D
Questions

Frequently asked

01What are Managed Agents?+
A suite of composable APIs for building and deploying cloud-hosted agents at scale. You define your agent's tasks, tools, and guardrails, and we run it on managed infrastructure with secure sandboxing, authentication, and tool execution handled for you. Go from prototype to production in days instead of months.
02What does model agnostic and model mixture mean?+

Model 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.

03What does the managed harness handle for me?+

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.

04Can I customize the harness to my needs?+
Yes. Beyond the default harness, we run a program-search process that automatically explores and tunes the agent's harness, tools, and prompts against your success criteria, producing a custom harness fitted to your specific workload rather than a one-size-fits-all loop.
05Can agents coordinate with each other?+
Yes. Multi-agent coordination lets agents spin up and direct other agents to parallelize complex work. You can also define outcomes and success criteria, and the agent self-evaluates and iterates until it gets there, instead of running a single fixed prompt-and-response loop.
06How do I govern and trust what agents do?+
Agents get access to real systems with scoped permissions, identity management, and execution tracing built in. Inspect every tool call, decision, and failure mode, so you can give agents real capability without losing control.
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