Intelligent optimisation
for the local grid

The grid architecture of the future, with smart energy assets responding to local conditions in real-time.

The last-mile electricity grid is breaking.

The distribution grid wasn't designed for today's usage.

Electric vehicles, domestic heat pumps and rooftop solar are creating concentrated local demand spikes that damage grid infrastructure - leading to local voltage fluctuations, power cuts and substation fires.

Physical upgrades will cost bill-payers £Bs and aren't enough - our electricity networks need to be smarter.

Smart, edge-based control for the local grid.

Our predictive AI system forecasts local network constraint and deploys local energy assets to proactively prevent network issues.

Infrastructure-grade virtual reinforcement that network operators can rely on.
Closed-loop control that continues to operate, even in a cloud outage.
Advanced optimisation that maximises asset revenue by trading spare capacity.

Working with

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UKPN.png
CEE.png
IUK.png
SSEN.png
ESC.png
CDL.png
Erewash.png
UKPD.png
Energise South.png
E4A.png

Our team

Our leadership team has previously built and scaled one of the UK’s most successful smart-city AI platforms. Now, we are bringing our technical expertise and execution experience to the decentralised grid.

  • A smiling photo of Yang Lu, CEO with black hair and glasses wearing a maroon sweater against a gray background.

    Yang Lu - CEO

    Cambridge MEng (1st class – Distinction)

    Yang is an experienced entrepreneur with over a decade of building and scaling technology and AI businesses. He previously founded VivaCity Labs, a leading smart-city and IoT company that has deployed more than 10,000 AI-enabled traffic sensors across transport networks in the UK and internationally.

  • Close-up of Sam Cox, COO/CFO, wearing a white shirt and a dark blazer, standing indoors with a blurred background of windows and blue sky.

    Sam Cox - CFO

    Cambridge MEng (1st class); INSEAD MBA (Distinction)

    Sam brings broad experience across multiple industries, including deep tech, artificial intelligence, and renewable energy. He began his career in micro-solar before spending 7+ years as a strategy consultant at Bain & Company, advising global organisations and tier 1 private equity clients.

  • CTO Stephen Pendrigh, with glasses, brown hair, and a beard, wearing a suit and tie, smiling in front of a plain background.

    Stephen Pendrigh - CTO

    Cambridge MEng, with 3rd yr abroad at MIT (5.0 GPA)

    A Cambridge and MIT-trained engineer, Stephen has extensive experience designing and operating large-scale IoT and cloud systems. Prior to joining us, he spent ten years as Lead Technical Architect at tech startup, developing and deploying advanced AI, sensing, and cloud infrastructure and hardware.