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Autonomous systems studio

AI systems that run your operation unattended.

We design, build and run autonomous agents, Grok-native bots and custom AI systems. Pick a time on the calendar: in 30 minutes we map the function, what the system may decide on its own, and tell you straight if an agent is the wrong answer.

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Choose a day, then a time

30 min Video call Free

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  • 17systems of ours running in production today
  • 30minute scope call on video, no prep needed
  • Fixedprice in writing before a line is built

What we build

Three ways an operation stops needing someone to watch it.

Autonomous agents

Agents that own an outcome, not a prompt

A workflow waits to be triggered. An agent decides. We build systems that run a business function on their own schedule: they find the work, research it, choose an action, take it, and follow up without anyone opening a dashboard.

Grok-native bots

Bots that live inside X, at timeline speed

Most social automation is a scheduler with a text box. A Grok-native bot reads the live timeline, understands what is actually happening right now, and answers inside the window where a reply still earns reach.

Custom builds

The system that does not exist yet

The work that has no product to buy. Private model routing, browser automation fleets, render pipelines, ingestion and enrichment, internal tools that three people use forty times a day.

In operation

The systems we run for ourselves, every day.

Everything we sell is something we already operate. 17 of these run unattended right now; the rest are in build or parked until the numbers justify them.

Agent layer

One agent layer operates everything below it. It reads the operation as a map, not as a prompt.

  • Agent context architectureRunning
  • Run ledger and handoff protocolRunning

Media production

Research, script, voice, footage, edit and upload, unattended, on fixed daily slots.

  • Long-form documentary studioRunning
  • Short-form vertical clip lineRunning
  • Digital publishing engineRunning
  • Synthetic presenter systemRunning
  • Performance creative engineRunning
  • Synthetic voice studioRunning
  • Generative media experimentsParked

Distribution and growth

Where the output goes, and the guards that stop it going twice.

  • Search and discovery automationRunning
  • Autonomous social operatorRunning
  • Social distribution meshRunning
  • Partner outreach laneRunning
  • Continuous broadcast channelIn build
  • Cold outreach platformParked

Commerce

Listings that cannot ship half-built.

  • Marketplace publishing engineRunning
  • Utility web network and promo engineParked
  • Reputation defence systemParked

Infrastructure and safety

Idle compute is a fault. An unguarded endpoint is a fault. An unmeasured model chain is a fault.

  • Compute governanceRunning
  • Endpoint sentinelsRunning
  • Research infrastructureRunning
  • Model routing benchRunning

How it works

From one call to a system that runs on its own.

  1. 01 · 30 minutes

    Scope

    One call. We map the function you want an agent to own, the systems it has to touch, and the decision it is allowed to make on its own. If an agent is the wrong answer we say so on that call.

  2. 02 · 3–5 days

    Blueprint

    A written architecture: the action loop, the data it reads and writes, the model chain with its measured fallbacks, the limits, and the failure behaviour. Fixed price attached before a line is written.

  3. 03 · 2–4 weeks

    Build

    Built against the real APIs from day one. No mock data, no staging fiction. You get access to the run logs while it is being built, not after.

  4. 04 · Ongoing or handover

    Run

    It goes live under supervision, then under monitoring. Managed operation, or a full handover with the runbook and the repo. Your call.

Principles

Safety is enforced in hardware

Exposure timers, current limits, thermal cut-offs and watchdogs live in silicon and firmware. A computer, a model or a prompt is never the last line of defence.

The instrument describes itself

Every device publishes its modules, sensors, limits, calibration and supported commands as a machine-readable schema. Software discovers hardware; it does not assume it.

Model-agnostic by design

Hardware and protocol engines run without any AI model. Claude, OpenAI, local models and plain scripts all talk to the same documented API, USB, BLE and MCP surfaces.

Measured, not assumed

Optical output, temperature and timing are measured with calibrated sensors and logged with synchronized timestamps. Nominal specifications are inputs, not evidence.

Tell us the job you want off your desk.

30 minutes. If an agent is the wrong answer, you hear it on the call.