We design and ship on-device AI and embedded AI systems — local inference pipelines, computer vision, and edge intelligence solutions that run on your hardware, under your control.
Low latency. No cloud dependency. No data egress. From the silicon itself through to the app your team uses in the field.
Businesses have the vision for on-device AI and edge intelligence. They can't find anyone who can actually build it.
You have a product idea that needs local inference on embedded hardware — real-time object detection, autonomous operation without cloud connectivity, or data-privacy-first AI that never leaves the building. Finding a team who can deliver across the full stack is genuinely difficult.
Most consultancies handle the cloud layer or the model layer — not the embedded systems, custom Linux BSP, and low-latency inference pipeline underneath. That's the gap Manchester Edge AI Lab exists to close.
For regulated environments: regulated data doesn't mean no AI. It means on-premises AI — deployed locally on your hardware, under your control, with zero data egress and full GDPR compliance.
Every project starts with a benchmark on your target edge AI hardware. We don't estimate local inference performance — we measure it. Low latency. No cloud round-trip. Autonomous operation from day one.
Right edge AI hardware for the brief. Jetson for GPU-accelerated on-device ML. Raspberry Pi and Hailo for cost-sensitive and TinyML deployments. NXP i.MX and Rockchip for IIoT and industrial edge intelligence.
One team across every layer — from custom Linux images and local inference pipelines through cloud services and mobile apps. No integration gaps. No handover risk. Bandwidth-optimised from the ground up.
To build world-class embedded AI and edge intelligence capability in the North — developing local talent, serving Northern businesses, and positioning the region at the forefront of on-device AI and intelligent hardware.
Expert embedded AI and edge computing capability without London price tags. Northern businesses deserve access to the same depth of on-device ML expertise.
Keeping Northern engineers in the North. Building on university output and creating pathways into production embedded AI and edge intelligence work.
An independent company with a community mission — reinvesting in the Northern tech ecosystem, not extracting from it. Open source everything we build.
Manchester anchor. Leeds, Liverpool, and Sheffield as the network grows. Northern edge AI capability, not Northern limitation.
You have the product concept. You need embedded AI expertise without a full-time hire. Lab access, prototyping support, and fractional CTO capability to get from idea to validated on-device ML hardware.
Your product works. Now you need to add on-device AI, connectivity, or real-time inference. We integrate edge computing capability into existing products — without rebuilding from scratch.
Predictive maintenance, computer vision quality inspection, energy monitoring. IIoT and Made Smarter-aligned engagements delivering real operational improvement via embedded AI on real factory floors.
The bridge from academic prototype to commercial edge AI product. Production hardware experience, real-world autonomous deployment, and a network of Northern tech contacts.
Community isn't a legal structure. It's how we operate. Every engagement feeds embedded AI and edge computing capability back into the Northern tech ecosystem.
Every month, a set number of days are available at no cost to early-stage Northern hardware founders who need access to production edge AI silicon and embedded expertise.
Every demo, tool, and case study — from TensorRT benchmarks to on-device ML pipelines — is published on GitHub under manchester-edgeai-lab — free for anyone to use, learn from, and build on.
A regular meetup for Northern embedded engineers, edge AI practitioners, hardware founders, and IoT teams. No sales pitch. Just knowledge sharing on on-device ML, local inference, and intelligent hardware.
We publish what we learn — edge AI benchmarks, embedded Linux guides, computer vision tutorials, IIoT case studies. The more we give away, the stronger the Northern edge computing community becomes.
Most edge AI projects stall between the notebook and the field. This one won't.
Talk to us about lab access, a scoped edge AI engagement, or a technical partnership. We work with Northern startups, manufacturers, and scale-ups who need to turn on-device AI vision into working, deployed product.