Britain can't connect new data centres fast enough. So we stop waiting for the grid — and run AI compute on power that's already there, behind the meter, inside managed estates.
The power was always there — now it works.
We're short of compute, not power. The grid can't connect new data centres fast enough — yet the buildings people already live in carry electrical headroom that sits idle every day.
A node sits behind the estate's own meter and draws only the headroom the building isn't using. When residents need more power, the node steps back; when there's slack, it fills it. Nothing changes for the people living there.
A single landlord supply, one counterparty. We verify spare capacity and install at no upfront cost.
Circuit-level energy control keeps every node inside the site's verified headroom, with battery ride-through for grid events.
BayesOS places workloads across the fleet by latency, hardware and real-time spare power — and reroutes when a node must throttle.
Energy and compute infrastructure designed to install at no upfront cost to the estate, with host compensation and improved outage resilience. Resident energy use is protected by design.
Rapidly deployable GPU capacity, delivered as a resilient, secure fleet and placed closer to your users — without long-lead sites or connection queues.
BayesGrid suits workloads that distribute across smaller footprints and gain from being near users and data. It complements hyperscale data centres — it doesn't replace them.
the workload most aligned to modular, distributed capacity
proximity directly improves the experience
locality eases backbone congestion
distributed capacity for bursty compute
Not for frontier model training — that needs single-site cluster scale and belongs in centralised facilities.
An always-on load in a residential building has to satisfy Great Britain's electrical assurance framework — the same layered stack that installers, network operators and insurers already recognise.
Designed for multi-tenant security: encrypted communications, workload isolation and tamper-evident hardware, with credentials revocable the moment a node is removed or compromised.
Safe operating limits, controlled export, certified storage and conversion — assured before a single node is energised.
We begin with a 50-node proof of concept across a small number of UK estates, then scale node by node and estate by estate toward an annual capacity of over 100 MW of AI inference compute — roughly 1.5% of the UK's stated 2030 AI ambition, achieved without breaking ground on a single new hyperscale site.
Across a small number of UK estates
Node by node, estate by estate
Annual AI inference capacity
Each BayesNode is a matte, liquid-cooled cabinet that sits beside the building's existing electrical kit — 8× B200 SXM compute, a coolant distribution unit, battery ride-through and a circuit-level energy gateway, with an external dry cooler for heat rejection. Engineered to be safe, quiet and unremarkable.
Whether you need capacity or you have an estate to host, the build starts now.