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£60–70K / year · Bristol, England, GB
Toumetis provides predictive analytics using machine learning and physics-based algorithms to help electrical distribution utilities predict and prevent power outages.
Toumetis, founded in 2009, builds predictive analytics solutions for the electrical distribution industry. Its software applies machine learning alongside physics-based algorithms to forecast and prevent power outages before they occur, positioning the company at the intersection of data science, IoT and utility grid reliability.
The company's principal product is Cascadence, described as the first industry-proven platform to successfully predict equipment failure in power distribution networks. The platform provides actionable early warning of failing electrical equipment through event detection, event type classification and incipient fault location, allowing utilities to replace assets proactively rather than reactively.
Technical work spans applied machine learning, data engineering, cloud computing, IoT solutions and frontend development. Toumetis partners with some of the largest distribution companies globally and serves Fortune-1000 customers, and reports that its approach significantly reduces SAIDI, SAIFI and other grid reliability metrics. The stated practical stakes of the work range from preventing large-scale outages to mitigating wildfires.
The company maintains operations in Boise, Idaho and Bristol, in the United Kingdom.