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Managed AI operations · Founder-led companies

You run the company.
Openrun runs the AI.

We build, supervise, and continuously improve the AI workforce behind your business—so you manage outcomes, not models, prompts, and agents.

Prepare this week's investor update and the market brief

One directive. Openrun keeps everything in orbit.

The company of one

One person at the center of a managed system.

The shift / 01

The next great company may have one employee. It won't have one worker.

AI turns every ambitious operator into the manager of a parallel team. But that team still needs architecture, context, supervision, and standards.

That is the company we are building. Openrun takes responsibility for the system behind the work: the agents, workflows, tools, permissions, evaluations, and constant improvement.

You own

Direction, taste, judgment

Openrun owns

Architecture, reliability, improvement

The AI team does

Research, creation, operations

The service / 02

Not another tool to manage.

The team that manages the tools.

Models will change. Your business should not have to rebuild around each one. Openrun maintains the operating layer that makes AI useful, safe, and specific to your company.

Company 01 / Live
Openrun control plane

Direction

YOU

Set the outcome

Taste · context · judgment

Openrun

Managing

Routes work, checks quality, handles exceptions, and learns from every review.

Specialist team

5 active systems

Maya
Drafting
Scout
Running
Jordan
Review
Atlas
Queued
Pepper
Approval
Human approval enforced for external actions

Build

Company context, specialist agents, integrations, permissions

Operate

Run monitoring, human approvals, incidents, exception handling

Improve

Evaluations, feedback, memory, routing, new model rollouts

The boundary / 03

The agents aren't the product. Keeping them working is.

You connect a client-owned Claude or OpenAI account with scoped credentials. The model provider bills your company for compute. Openrun bills separately for operating the system—and stays accountable for the fleet.

01 / Your account

Own the model relationship

Provider billing, usage limits, data policy, and credential rotation stay inside your company boundary.

02 / Openrun

Operate the control plane

Provisioning, routing, observability, approvals, recovery, evaluations, and constant improvement.

03 / Your fleet

Run separately by client

A company-specific team with its own context, tools, permissions, memory, and approval boundaries.

Two bills. One operator.

Compute remains transparent. Management is priced around the operational surface Openrun owns.

Client-paid compute

Your model provider bills your company directly. Usage never disappears inside a bundled black box.

Operations retainer

A stable fee for the control plane, monitoring, iteration, and incident response behind the fleet.

Per-agent management

The management fee grows with the number and complexity of the specialist systems Openrun operates.

Outcome layer

Where results are measurable and controllable, an optional fee can align Openrun with the outcome.

The first systems / 04

Start with real work. Expand from proof.

The vision is an AI company behind your whole company. The practical beginning is one valuable, repeatable workflow with a clear owner and a measurable result.

01

Founder media engine

A managed editorial desk that researches, develops your point of view, and turns it into newsletters and social distribution.

Research → Draft → Review → Publish

02

Market intelligence desk

A continuous research system that watches the market, separates signal from noise, and briefs you before decisions.

Monitor → Verify → Synthesize → Brief

03

Partnership operations

A reliable operator that discovers programs, prepares applications, waits for approval, and tracks every outcome.

Find → Qualify → Prepare → Track

Every system begins narrow. Every run makes it better.

See the method

The method / 05

One accountable loop, always improving.

The models are rented. The operating judgment compounds.

  1. 01

    Map

    We find a high-value workflow, the judgment it needs, and the places a human must stay in control.

  2. 02

    Build

    We assemble the agents, context, tools, permissions, and review loops around the way your company works.

  3. 03

    Run

    We operate the system, watch every run, handle exceptions, and keep consequential actions behind approval.

  4. 04

    Improve

    We evaluate outputs, encode what works, and keep the system current as models and your company change.

Human control / 06

Judgment stays human.

Autonomy is earned workflow by workflow. Openrun keeps the routine moving and brings you in where taste, risk, money, or reputation are involved.

Openrun runsYou approve
Research and synthesisPublishing externally
Drafting and iterationSending messages
Monitoring and alertsSubmitting applications
Routing and organizationSpending or commitments

The company of one / Starts here

How much company can one person build?

The next billion-dollar company may have one employee. Openrun is the team behind them.

Build with Openrun
Openrun — Managed AI Operations