Hardware
Apple-silicon workstations sized to your model and workload, racked in your building. You hold the title.
Platform
Intelligence that lives in your building.
Owned open-weight models, on hardware you hold title to, wired into the systems that run your business. No per-token meter. No data leaving the premises.
The thesis
Intelligence is a commodity. The edge is deployment.
Everyone can rent a frontier model. Almost no one owns the operation that turns it into margin — whose building it runs in, whose hardware holds it, whose hands are on the data. That's the whole game, and it's the one we play with you.
The core
Owned models, not rented tokens.
The engine of the platform is a frontier-class open-weight model that we deploy on hardware you own. The weights are yours — not licensed per seat, not metered per token, not subject to a vendor's pricing change or policy update.
This is running today, not a roadmap slide: a 70B-parameter, GPT-4-class model serving 15–22 tokens per second on a single Mac Studio M4 Max. That is real working speed for drafting, estimating support, document processing, and back-office throughput.
PROVEN · 70B / GPT-4-class @ 15–22 tok/s on one Mac Studio M4 Max
Clustering
More machines add capacity — and we say so plainly.
When one box isn't enough, we cluster: RDMA over Thunderbolt 5 with the Exo runtime links multiple machines into one pool. That interconnect is real and running in our lab today.
Honest framing, because it matters: clustering adds capacity — more concurrent users, more parallel jobs, larger models held in memory. It does not make a single response faster. Anyone who tells you stacking boxes buys single-stream speed is selling you something. We size clusters for throughput, and we put it in writing.
PROVEN · RDMA over Thunderbolt 5 + Exo clustering, running in-lab
The stack
Four layers, one owner: you.
Inference
Open-weight models you own, served locally. Model choice and updates on your schedule, not a vendor's.
Integration
Wired into the systems you already run — phones, CRM, books, dispatch, documents — so the model does work, not demos.
Operations
We deploy it, monitor it, and tune it as part of your operation. Owned infrastructure, managed like infrastructure.
Data sovereignty
Your data never leaves the building.
The default posture is on-prem; for regulated or sensitive environments the stack runs fully air-gapped. Your customer lists, financials, bids, and call recordings are processed on your hardware and stay on your hardware — they are never sent to a cloud model, never used to train someone else's system, never sitting behind a third-party token meter.
That posture isn't a brochure line — it's how we run our own stack. The architecture we deploy for you is the same one our own high-stakes operations depend on every day.
Next
The full sovereign build.
Hardware, models, and the ownership math — in the open.
The Sovereign page carries the detailed build: what we run, what it costs, and which claims are proven versus directional. No black boxes.