We built MINT — our exclusive framework that compresses 400B+ parameter models to run on a single Mac. No cloud. No GPUs. No compromise on intelligence. And we deploy it into production.
Book a Technical BriefingYour models are too big for your hardware.
Frontier models demand hundreds of gigabytes and enterprise GPUs. Most organisations simply can't run them.
Your data is leaving your control.
Every API call sends proprietary data to someone else's infrastructure. Compliance teams are right to worry.
Cloud lock-in is accelerating.
The more you build on hosted AI, the harder it gets to leave. Vendor dependency compounds monthly.
GPUs are scarce and expensive.
H100 waitlists stretch for months. Inference costs eat margins. There has to be a better way.
There is. We built it.
Memory-Informed N-bit Tuning. Our exclusive, data-free mixed-precision quantization framework that makes the most intelligent models run on consumer hardware — without sacrificing quality.
109B
Parameters on a Mac Studio
4.6%
Better quality than GPTQ at 72% less memory
0
Calibration data required
<50m
To quantize on CPU — no GPUs needed
Qwen3-30B on an iPhone
MINT compresses a 30-billion parameter model to 15.3GB — small enough to run on an iPhone 16 Pro. The same model that needs enterprise GPUs elsewhere.
Mixtral-8x7B at 71% less memory
MINT delivers better quality than GPTQ at 24.5GB vs 87GB. That's an RTX 4070 running what used to need an A100.
400B+ models on Apple Silicon
Frontier-scale models running entirely on your Mac Studio with unified memory. No external dependencies. No data leaving your device.
We don't just talk about sovereign AI — we deploy it. On your infrastructure, behind your firewall, under your authority. Kubernetes clusters, bare-metal servers, Apple Silicon fleets, air-gapped networks. Wherever your data lives, your AI runs there too.
This isn't a proof of concept. It's production-grade AI running in classified environments, healthcare systems, and financial institutions right now.
Air-Gapped
Classified & secure environments
On-Premises
Your data centre, your rules
Apple Silicon
Mac Studio & M-series fleets
Edge & IoT
AI at the point of need
Most AI consultancies resell someone else's tools. We publish original research, build the compression frameworks, and deploy production systems — with ongoing support if you need it, or full autonomy if you don't. End to end. No handoffs.
We develop SWAN & MINT — original quantization research validated across 7 model families and 40,000+ benchmark questions.
We fit frontier models to your exact hardware budget. Tell us your device and memory target — we deliver an optimised model.
Production-grade deployment on your infrastructure. Kubernetes, bare metal, Apple Silicon — air-gapped or connected. We make it run.
Monitoring, model updates, security patches, continuous improvement. We keep your sovereign AI running at peak performance.
Tell us your hardware and memory budget. We compress the most capable models to fit — using our exclusive SWAN & MINT frameworks. No calibration data. No cloud GPUs. Just the best model your hardware can run.
We take compressed models from our lab to your production environment. Not a demo. Not a PoC. Production-grade, battle-tested deployment on infrastructure you own and control.
Your sovereign AI deployment is only as good as the team behind it. We monitor, update, and improve your system continuously — so your models stay current and your infrastructure stays secure.
Specialist services across the full AI stack.
Our engineers embed directly into your teams — transferring sovereign AI knowledge while delivering results.
Our proven Neural Pod operating model for de-risked velocity and cradle-to-grave ownership of AI initiatives.
Ethical, compliant AI systems with our RAI framework — from EU AI Act readiness to algorithmic impact assessments.
Purpose-built infrastructure for MINT-optimised LLM inference — from Apple Silicon fleets to air-gapped Kubernetes clusters.
Enterprise-grade security for your sovereign AI — data residency, encryption, audit trails, and identity integration.
Bespoke AI applications built on sovereign infrastructure — from LLM-powered agents to computer vision and predictive analytics.
7
Model families tested
40,000+
Benchmark questions
8B–400B+
Parameter range
Peer-reviewed
Original research
Every month on hosted AI deepens your dependency — on someone else's infrastructure, someone else's pricing, someone else's terms. Your data. Your models. Your authority.
We have the research, the frameworks, and the production expertise to make it real. Let's talk.
Schedule Your Technical Briefing30-minute call. No sales pitch. Just engineers.