Train smart, self-monitoring equipment
Use high-resolution electrical consumption signatures to train algorithms that recognize degradation before a customer notices a failure.
Manufacturer Data Partnerships
Real world data for building smarter appliances
NoWatt has assembled twenty years of high-resolution electrical consumption data across 100,000+ devices, 10+ sectors, and real environments. Manufacturers acquire this unrivaled learning dataset to train smart, self-monitoring equipment that is ultimately cheaper to operate, maintain, and use.
20 years of operating history100,000+ devices100bn+ datapoints10+ sectors
Proven through live deployment across operators and estates including
Why manufacturers care
Products rarely fail in the real world for the same reasons they succeed in the lab
Single-manufacturer fleet data rarely captures enough environments, usage patterns, installation variation, and long-horizon drift to explain what products actually experience after deployment. That is where the NoWatt dataset becomes commercially useful.
Make appliances cheaper to operate
Incorporate 20 years of real-world energy data to build appliances that automatically adapt to misuse, settings drift, and hidden inefficiency.
Make appliances cheaper to maintain
Separate true product faults from installation errors, environmental factors, abuse, and incorrect settings. Understand exactly what is happening to your products in the real world.
The data asset
A dataset no single manufacturer could build alone
The monitoring history matters because it explains the provenance of the dataset. But the asset itself is the operating history: how products behave across sectors, loads, settings, human intervention, and real-world variation over time.
Twenty years of long term operating history from live environments, not short test windows or isolated fleets.
Cross-sector exposure to hospitality, education, manufacturing, logistics, retail, facilities, sports venues, and more.
Human behavior included: settings changes, misuse, intervention patterns, seasonal drift, and installation failures.
A comparative context large enough to help manufacturers understand how products actually behave after deployment.
See the data asset in detail →Who this is for
Useful for product, service, and connected-product teams
The dataset is most valuable when a manufacturer is trying to understand how real deployment behavior should influence product design, diagnostics, service strategy, or ownership cost.
Product and engineering teams exploring smarter product behavior
Service leaders trying to reduce avoidable visits and warranty drag
Connected-product teams looking for better alerting and advisory logic
OEM leadership evaluating where proprietary data can change product economics
Provenance and proof
“NoWatt helps us to make educated decisions on which energy reduction projects will provide the greatest financial benefits.”
“Pizza Hut is keen to implement affordable energy-saving tools such as NoWatt, and works with AECOM to achieve this.”
“The information from ECA and NoWatt is spot on, and essential for clubs like us.”
Operating environments
These environments matter because they are part of what built the dataset. The commercial value comes from the accumulated real world behavior, not from a generic demo fleet.
Hospitality estate
Mitchells & Butlers
Energy management and operational prioritization across a large hospitality estate.
Retail and hospitality
Pizza Hut
Affordable energy-saving interventions supported by actionable monitoring insight.
Sports and events
RFU
Monitoring applied to complex sports and entertainment infrastructure.
Education estate
Reading University
Operational data and building-performance analysis across an education estate.
Partnership
Explore where real world behavior data could improve your product line
The first conversation is about your product category, service model, and where operating-history data could strengthen diagnostics, serviceability, or ownership economics.
Useful if you are
Exploring self-diagnosis, product redesign, service efficiency, or lower ownership cost.
First conversation
Product category, installed-base behavior, service model, and where real world data could create commercial value.
Contact
sales@nowatt.com
+44 7873 124107