Deploy where others can't.
Run what others won't.
We install AI on the hardware already in the field, then manage it from one place.
[ The Problem ]
Models are built for the cloud. Your environment isn't.
The latest LLMs need more memory than typical edge hardware has. More bandwidth than a satcom link provides. More compute than a field server can sustain. And yet that is exactly where the mission-critical work happens.
Teams spend weeks trying to make models fit. Quantizing, pruning, tuning. The model crashes. The timeline slips. We do not tune. We architect the runtime to handle it.
[ By Role ]
Built for every role in the room.
CTO / VP Engineering
Deploy AI on infrastructure you already own.
Reduce inference costs by running models on existing hardware. Single platform across NVIDIA, AMD, Intel, and CPU-only systems. No vendor lock-in.
- Cost reduction
- Hardware utilization
- Vendor independence
CISO / Security Lead
Zero data leaves the premises.
Air-gapped operation with no external dependencies. No cloud calls, no telemetry home. Audit-ready logs without content exposure. Built for classified and regulated environments.
- Data sovereignty
- Air-gapped operation
- Compliance & audit trails
ML / AI Engineer
Stop fighting OOM crashes.
Run models that exceed your GPU's VRAM through intelligent memory tiering. OpenAI-compatible API. Multiple backend support. Spend time on models, not infrastructure.
- OOM prevention
- Model flexibility
- Fast deployment
Operations / IT Lead
One dashboard for the entire fleet.
Manage inference deployments across every site from a single interface. Real-time health checks and Prometheus integration. Reduce truck rolls with remote fleet management.
- Fleet management
- Uptime & monitoring
- Fewer site visits
[ New Space ]
New Space & Satellite
Ground stations. On-board compute. Analytics run where the data is. You downlink insights, not raw telemetry. Every byte has a cost.
What we solve
- Ground station inference on hardware-starved nodes
- Earth observation processing at the edge
- Sensor fleet management across remote sites
- Orbital edge computing deployments
How we deploy
Runtime installed on your edge hardware (Jetson, x86, ARM). Models tuned for your SWaP-C constraints. Hub managing your entire ground station fleet. Engineers at your facility.
[ Defence ]
Defence & Intelligence
Air-gapped networks. Classified facilities. Large models run inside the secure perimeter. Zero egress. Zero tokens metered to an outside vendor.
What we solve
- Threat analysis and decision support systems
- Document intelligence in SCIF environments
- Training simulation on constrained hardware
- Operations centre AI deployment
Security posture
Zero outbound network calls. Zero telemetry exfiltration. Zero prompt logging. Our engineers understand classified environments because they deploy into them repeatedly.
[ Energy ]
Energy & Utilities
Remote substations. Offshore platforms. Predictive AI on hardware fixed in place for a decade. Runs when the satcom link doesn't.
What we solve
- Predictive maintenance on existing hardware
- Grid and pipeline monitoring
- Quality inspection at the edge
- Building automation systems
The deployment
Run AI on existing site hardware with no upgrades needed. Works fully offline with no cloud dependency. Fleet monitoring reduces truck rolls. Engineers come on-site to install and tune.
[ Mining ]
Mining & Resources
Underground operations. Fly-in-fly-out sites. Safety and autonomy AI on the hardware already on site. No site upgrade, no satcom dependency.
What we solve
- Safety monitoring and anomaly detection
- Autonomous equipment inference at the edge
- Geological survey processing on-site
- Fleet coordination across dispersed pits
The deployment
Runtime runs on dust-rated edge hardware. Hub syncs when connectivity returns. No cloud required for daily operations. Engineers install underground or above, wherever the gear lives.
[ How We Work ]
We show up. We install. It runs.
Our engineers deploy to SCIFs, offshore rigs, and ground stations. They audit the hardware, load the runtime, tune the models, and hand over the keys. No permanent team. No billable hours. Just working inference.
Learn about forward-deployed engineering01
Audit
Remote or on-site review of hardware, network topology, and operational constraints. The deployment plan is written and signed off before anything ships.
02
Install
Engineers on-site. Runtime and Hub deployed. Models loaded and memory orchestration tuned. Benchmarked against your specific hardware and workloads.
03
Harden
Security posture locked to your compliance regime. Team training and handoff documentation delivered. Production-ready before we close the ticket.
See it on your hardware.
Tell us your hardware and constraints. We will show you what runs.