
local-ai@operator:~
$ systemctl status path-to-local.target
- localai --boot ownership-stackoperator shell online
- resolve --cloud client-boundaryaccount remains the control plane
- mount /source /models /integrationsportable path mounted
- stage runtime --target owned-infrarepeatable agents queued
- audit workload --hardware-thresholdmetal unlocks when utilization earns it
- ready --depths adopt own housepath to local initialized

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 }
Proof in production
INDUSTRIES
Three operations we run toward.
{ 01 / FREIGHT BROKERAGE }
Compete with the megas without a mega budget.
Right-sized AI for $15M–$100M brokerages.
{ 02 / 3PL }
Make every load smarter without rebuilding your TMS.
Production AI on top of the systems you already run.
{ 03 / SPECIALTY MANUFACTURING }
Modernize legacy and ship AI in one engagement.
Sized to your throughput, not the vendor's commission.
POINT OF VIEW
Days, not years.
Discovery to a working production-capable prototype in 21 days, on the systems you already use.
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.
Most mid-market AI should not run on owned hardware.
We will tell you if your workload belongs in your cloud, not your facility.
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.
AI augments operators. It never replaces them.
Every agent ships with a human-in-the-loop boundary your team controls.
{ THE PATH PROOF }
- $15M–$100M Freight Brokeragebuild b1c4e07·ship 2026-04-18
- $15M–$100M ETO/CTO Manufacturerbuild 9f7a2d1·ship 2026-05-09
- PE-Owned Mid-Market Platformbuild 3e8b6af·ship 2026-05-27
$ clients
Trusted by operators.
// Every one of them is already in production.
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