measurable.energy
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measurable.energy: The ML Plug That Fights Vampire Power
How a 38-person UK startup is using AI to automate the elimination of small power waste in commercial buildings.
While the world obsesses over solar panels and wind turbines, measurable.energy is attacking the invisible enemy: the 10-20% of commercial electricity wasted by idle devices. Their secret weapon isn't a massive grid upgrade, but a machine learning-powered plug socket that acts as a vigilant gatekeeper for every outlet.
"They aren't just selling hardware; they are selling a guaranteed reduction in 'phantom load' without requiring human behavior change."
The Problem They Solve
Traditional energy management stops at the meter. You see total consumption, but you don't see the specific device wasting power. measurable.energy bridges this gap. By embedding machine learning directly into the socket, their hardware identifies devices based on unique electrical signatures—distinguishing a laptop charger from a coffee machine—and automatically cuts power when devices are idle. This is granular control that smart building platforms usually miss.
The Growth Narrative
With a lean team of 38 and $6.4M in revenue, measurable.energy is operating with impressive efficiency. Their traffic strategy is surprisingly organic, with 55% of visits coming from search. This suggests strong brand recall and a solution that resonates with specific, high-intent users—likely facility managers and sustainability officers looking for immediate ROI. The $13.4M in funding provides the runway to scale hardware deployment without sacrificing R&D.
The tech stack reveals a modern, pragmatic approach. They utilize jQuery and Tailwind CSS for a lightweight frontend, ensuring fast load times for their hub platform. The presence of GSAP and Goober suggests a focus on polished, interactive UI elements—a detail often overlooked in B2B utility software. This attention to user experience is critical when asking building managers to interact with a new energy dashboard daily.
- Hardware-Software Fusion: Unlike pure SaaS players, they own the physical layer (the socket) to ensure data fidelity.
- ML at the Edge: Device identification happens locally via the socket's processor, reducing latency and cloud dependency.
- Zero-Touch Automation: The system learns and acts autonomously, removing the need for manual programming by users.
The Verdict: A Silent Giant in the Making
measurable.energy proves that the most impactful climate tech often hides inside the wall, silently optimizing efficiency one outlet at a time.
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measurable.energy | Eliminating wasted energy in buildings
Our machine learning powered plug sockets automatically identify & eliminate the small power waste of devices, reducing carbon emissions & electricity bills.
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About measurable.energy
Our machine learning powered plug sockets automatically identify & eliminate the small power waste of devices, reducing carbon emissions & electricity bills.
Company Overview
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Technology Stack
measurable.energy uses 19 technologies across their website including Google Fonts, HSTS, Cloudflare Turnstile, Webflow, and more.
Fonts
Google Fonts
Security
HSTS, Cloudflare Turnstile
CMS
Webflow
CDN
jsDelivr
Cloud & Hosting
AWS CloudFront, Cloudflare
Marketing Automation
HubSpot
Traffic & Audience
measurable.energy receives approximately 1.8K monthly visitors and ranks #8,610,077 globally. The website has a bounce rate of 45% with visitors viewing an average of 1.8 pages per visit. Users spend an average of 0:28 on the site.
The majority of measurable.energy's traffic comes from .
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