Your project's AI, running on your own floor.

A complete system: the machine, the models and the construction.live harness, delivered as one thing. Your drawings, contracts, daily logs and voice notes are read on a box in your building — never sent to a model vendor, never metered by the token.

128 GB
Unified memory
32 GB
Dedicated GDDR6
191
TFLOPS at FP16
0
Bytes sent to a model vendor

Built for inference

128 GB of unified memory holds a long-context model resident, and a dedicated 32 GB GDDR6 card carries the decode. Big enough for a full drawing set in one prompt, fast enough that a super isn't waiting on it.

Ready in an afternoon

It arrives with the engine, the models and the construction.live harness already on it. Power, network, pair, and your projects are indexing before the crew goes home.

Private by default

Every drawing, contract, daily log and voice note is read on the box in your building. Nothing is sent to a model vendor, because there is no model vendor in the path.

Three ways to put it in the building.

Every configuration ships the whole platform. What changes is where the box sits, how much of it there is, and how tightly it's sealed off from everything else.

Site Box

Jobsite trailer or a single office

One box, one job.

The base unit, sized to sit under a desk in the trailer. It runs the whole platform for the crew on that job — voice notes, daily logs, drawing revisions, submittals — without a line out to anything.

Units
1
Unified memory
128 GB
Dedicated VRAM
32 GB
Draw
~500 W sustained
  • Full construction.live platform, on-box
  • DeepSeek V4 and Qwen3.8-27B pre-tuned
  • Unlimited seats on that project
  • Wi-Fi 7, 5 GbE, runs off a standard 15 A circuit
Request an allocation
Most contractors

Office Cluster

A contractor running a portfolio

Unlimited use, flat cost.

Four units racked together in your own server room, serving every project and every seat in the company. You stop paying per token and start paying for a machine, so nobody in the office has a reason to ration what they ask it.

Units
4, clustered
Unified memory
512 GB aggregate
Dedicated VRAM
128 GB aggregate
Draw
~2 kW sustained
  • Everything in Site Box, across every live project
  • Unlimited seats, unlimited usage, no per-token metering
  • OpenAI- and Anthropic-compatible endpoints for your own tools
  • Procore, Autodesk, Bluebeam and email connectors run on-box
Request an allocation

Government Enclave

Public owners, defence and infrastructure

Completely self-hosted. No egress.

The same platform, delivered air-gapped. It is installed inside your perimeter, the weights are on your disks, and the box has no route to the public internet — not a restricted one, none. Updates arrive the way anything else arrives in a secure facility: on media you inspect first.

Units
4 to 16, rack-mounted
Unified memory
Up to 2 TB aggregate
Dedicated VRAM
Up to 512 GB aggregate
Egress
None
  • Air-gapped install, offline model and platform updates
  • Data residency by construction: nothing leaves the facility
  • Full audit log of every prompt, retrieval and generation
  • SSO, role-based access and per-project compartments
Talk to our public sector team

Quoted per deployment rather than off a list, because unit count, siting and integration scope all move the number. Tell us the shape of yours and we'll come back with a figure.

Open weights, on your disks.

The box arrives with two models already tuned for construction work and the harness already routing between them. No licence server to reach, no model that can be deprecated out from under a contract.

DeepSeek V4

Long-context reasoning

Carries the work that needs the whole file in view at once: reading a drawing set against a schedule, tracing a change order back through the revisions that caused it, reconciling an invoice with what the daily logs say happened.

Qwen3.8-27B

High-throughput field work

The model that answers while a super is still standing in the stairwell. Voice note transcription and filing, daily log drafting, submittal classification, search across everything on the job.

Also runsGLM-4.6Llama 4 familyDeepSeek V4-FlashYour own fine-tunes

A model on its own doesn't run a project.

What makes it a system is the construction.live harness: the agents that read what arrives, file it against the right job, link it to the revision behind it and follow up on what's owed. That ships on the box too.

01

It reads what arrives

Email threads, attachments, drawings, voice notes and photos land on the box and are parsed there. The agents that do the reading never leave the machine.

02

It files against the right job

Every artefact is matched to the project, the drawing revision and the schedule behind it, so the connected record builds itself as the job runs.

03

It answers on your endpoints

The same OpenAI- and Anthropic-compatible API your own tools already speak. Point an internal script, a BI tool or a coding agent at it and it just works.

For government, completely local.

Public infrastructure work carries records that can't be handed to a third party: sealed bids, security-sensitive drawings, procurement correspondence, claims headed for litigation. The Government Enclave configuration answers that the only way it can actually be answered — by putting the whole system inside your perimeter.

Nothing leaves the building

In the air-gapped configuration the box has no route off your network. There is no telemetry channel, no phone-home, no vendor-side inference. Privacy here is a property of the wiring, not a clause in a contract.

The weights are yours

Open-weight models on your own disks. No licence server to reach, no deprecation notice that retires the model your procurement was written around, no vendor able to change the terms after award.

Auditable end to end

Every prompt, retrieval and generation is logged on-box with the record it touched, so an FOI request, an inquiry or an internal review can be answered from your own logs.

Priced as a capital asset

One machine, one purchase order, unlimited use. Nobody has to forecast token spend, and departmental usage never becomes a budget conversation.

An aluminium chassis built for sustained load, not benchmarks.

Per unit. The Office Cluster and Government Enclave configurations multiply these.

Compute
Processor
AMD Ryzen AI MAX+ 395
Integrated GPU
40 cores, up to 60 TFLOPS
Dedicated GPU
AMD Radeon AI PRO R9700, 64 CUs
GPU performance
Up to 191 TFLOPS at FP16
Memory
Unified memory
128 GB LPDDR5X-8000
Unified bandwidth
256 GB/s
Video memory
32 GB GDDR6
Video bandwidth
640 GB/s
Storage
Capacity
2 TB NVMe 1.4
Drive
KingSpec XG7000
Sequential read
Up to 7,400 MB/s
Sequential write
Up to 6,600 MB/s
Power
Supply
1,000 W Corsair SF1000, 80 PLUS Platinum
Sustained load
~500 W
Idle
~40 W
Circuit
Standard 15 A office outlet
Chassis
Dimensions
340 × 110 × 320 mm (13.4 × 4.3 × 12.6 in)
Volume
11.97 L (~730 in³)
Weight
6 kg (13.2 lb)
Build
Machined aluminium, air-cooled for low noise
Connectivity
Networking
5 GbE Ethernet, Wi-Fi 7, Bluetooth
Data ports
2× USB4, 2× USB-A
Display
HDMI 2.1, 2× DisplayPort 2.1, 4 GPU outputs
Air-gap option
Radios disabled in firmware on request
Software
Operating system
Ubuntu
API
OpenAI- and Anthropic-compatible
Pre-installed
Inference engine, models, construction.live harness
Pre-ship testing
72-hour burn-in

Built to order, in limited numbers.

01

Tell us the deployment

Trailer, server room or secure facility, and how many projects and people it has to carry.

02

We size and quote it

Unit count, siting and integration scope, with the connectors you already run costed in.

03

We build, burn in and install

72 hours of load testing before it ships, then installed and indexing your projects on site.

1 year
Parts and labour
72 hours
Burn-in before it ships
On site
Installed and handed over

Before you ask us for a number.

No. The box runs the whole platform. Cloud and on-premise are the same product with the weights in a different room, and projects can move between them.

Tell us where the box goes.

Trailer, server room or secure facility. We'll size it, quote it and tell you honestly if the cloud version would serve you better.