Local AI

local-ai@operator:~

$ systemctl status path-to-local.target

  1. localai --boot ownership-stackoperator shell online
  2. resolve --cloud client-boundaryaccount remains the control plane
  3. mount /source /models /integrationsportable path mounted
  4. stage runtime --target owned-infrarepeatable agents queued
  5. audit workload --hardware-thresholdmetal unlocks when utilization earns it
  6. ready --depths adopt own housepath to local initialized

[ STREAMING BOOT LOG ]

Local AI

Your cloud }Your code }Your hardware }

Production AI you own, on the cloud you pick or the hardware you put on your floor.

Code, models, and integrations owned from day one }

The Path to Local }

Open any depth to see exactly what you own at it.

Proof in production

POINT OF VIEW

  1. Days, not years.

    Discovery to a working production-capable prototype in 21 days, on the systems you already use.

  2. Hardware sized to the workload, not the vendor's commission.

    The same chip ships at $2,999 to $5,079 across vendors. The difference is markup. We disclose ours.

  3. Most mid-market AI should not run on owned hardware.

    We will tell you if your workload belongs in your cloud, not your facility.

  4. The hybrid is the destination, not pure on-prem.

    Frontier models in the cloud for reasoning. Owned open-weight models on your hardware for steady, sensitive load.

  5. AI augments operators. It never replaces them.

    Every agent ships with a human-in-the-loop boundary your team controls.

{ THE PATH PROOF }

  1. $15M–$100M Freight Brokerage
    build b1c4e07·ship 2026-04-18
  2. $15M–$100M ETO/CTO Manufacturer
    build 9f7a2d1·ship 2026-05-09
  3. PE-Owned Mid-Market Platform
    build 3e8b6af·ship 2026-05-27

$ clients

Trusted by operators.

// Every one of them is already in production.

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