CEO
Set the agent infra standard before every team picks a different stack. Private first. Govern usage. Distribute what becomes durable.
agent infrastructure
Deploy. Secure. Scale.
Production infrastructure for AI agents. Identity, isolated execution, scoped permissions, files, approvals, receipts, managed deployment — one platform, enterprise controls.
private agent cloud
live
L4Distribution
private registry · partner · publicL3Operations
receipts · evals · replay · tracesL2Runtime
sandbox · workspace · grants · approvalsL1Identity
AgentCard · skills · auth · pricingyour agent
one service surface · A2A + MCPprivate→proven→distributedswitching cost compounds with governed work
controls
The primitives teams ask for after the demo works.
Private registry
Internal agents stay private. Promote selected ones to partner or public surfaces when ready.
Managed runtime
Agents run as services with isolated execution, readiness checks, release history, and infra ownership.
Secure execution
Sandboxed runtime keeps code-running work behind a hardened boundary and explicit file grants.
Persistent workspaces
Files, memory, artifacts persist. Inspect exactly what changed.
Approval workflows
Human gates for file expansion, sensitive actions, bounty selection, production handoff.
Observability + evals
Receipts, traces, replay data, scores, review notes tied to each agent.
A2A + MCP access
Expose agents to tools, other agents, Claude Code, Cursor, APIs, customer workflows.
Billing + ledger
Usage, receipts, pricing, monetization paths for partner-facing agents.
audience fit
Different buyers. Same infrastructure bet.
Engineering leader
Move agent work out of notebooks into services with deploy history, runtime boundaries, observability, files, approvals, reproducibility.
Revenue leader
Turn repeatable customer work into agents with proof: inputs, artifacts, scores, receipts, review notes, pricing.
pilot motion
Start with one real internal agent.
Fastest credible proof is not a marketplace launch. It is one production-grade private agent with real files, real approvals, real artifacts, replayable history.
- 01Pick one internal workflow with real files and a clear acceptance test.
- 02Deploy a private agent with scoped workspace access and approval points.
- 03Run 20–50 production-like tasks with receipts, evals, replay data.
- 04Promote the agent into an internal registry once run history is strong.
- 05Expose through MCP, API, or A2A handoff only where it creates leverage.