Every agent your team runs is a meter running somewhere else.
When you issue a laptop today, inference happens in someone else's data center, your data rides along, and the machine throttles the moment real work starts.
Usage gets rationed
Per-token pricing on every agent loop means someone caps it. Employees ration the capability you bought — and finance still gets surprised every quarter.
Security has to say no
Regulated data can't leave — so entire teams are locked out of frontier AI. Not because models are weak, but because the workload's data can't travel to them.
Laptop + cloud API
- ×Metered inference — opex scales with every agent loop
- ×Data egress — prompts and files transit third-party APIs
- ×Thermal throttle — sustained load hits the silicon wall
- ×Revocable keys — access floats independently of the device
Owned outfra seat
- ✓Fixed compute — amortized hardware, $0 per token after build
- ✓On-device execution — sensitive data never leaves the box
- ✓Sim-validated thermals — designed for sustained inference loads
- ✓Hardware-anchored policy — frontier access bound to the machine
Two planes. One machine. Nothing sensitive in between.
Split-plane agents: the work that can't leave, doesn't — and the reasoning that deserves a frontier model gets one.
Where your data lives
- Local open-weight models handle high-volume loops — retrieval, classification, drafting over private corpora.
- Files, repos, sensor data are read and written on the machine, under device permissions.
- Sustained-inference thermals — validated in simulation before a part is ordered.
Where the thinking happens
- Planning, review, escalation run on frontier Claude models via the first-party API.
- Only minimized, policy-filtered context crosses the firewall — auditable by security.
- Your enterprise agreement applies — zero-data-retention options, audit logs, compliance controls.
Claude thinks. The machine acts. The data stays. The compliance conversation shrinks from "send our data to a model provider" to "approve these specific, filtered requests."
Governance IT can deploy. Control the provider keeps.
The control surface binds frontier access to the physical machine — more governance than a floating API key.
Attested identity
API credentials sealed to the device. The provider knows which physical machine is calling.
Per-device policy
Quotas, model allowlists, workload classes, and geographic fences — enforced before a token is issued.
Instant revocation
A lost or decommissioned machine is one switch — frontier access ends with the device.
Hardware-anchored audit
Every request that crossed the firewall, tied to a device, a policy, and a timestamp.
Start where a rack can't go.
Field engineering, industrial inspection, defense edge, on-prem agent workstations — teams that need a local inference machine today.
The machine. A validated portable workstation for your workload — CAD, rationale-backed BOM, thermal simulation — running local stack and Claude-orchestrated split-plane agents.
The fleet. Provisioning at scale: attested device identity, per-device policy, and the context firewall configured to your security rules.
The managed fleet. Sourcing, fabrication, and lifecycle — issue an outfra the way you issue a laptop, with governance from first boot.