Permutable enters TotalEnergies accelerator to test energy market signals
London intelligence firm will spend six months testing whether real-time narrative and sentiment data can help energy teams spot risks earlier.
By Sarah Jenkins · Chief Macro Economics Correspondent
· 3 min read
Permutable has joined Batch #7 of the TotalEnergiesOn accelerator, a six-month programme in which it will test real-time intelligence tools for energy-market workflows. The London-based technology and market intelligence company is focusing on whether narrative and sentiment signals can give trading, risk and strategy teams earlier visibility into shifts across power, renewables and commodities before those changes are reflected in conventional market data.
The programme brings together TotalEnergies teams and startups working on digital technologies relevant to the future of energy, including power and renewables. For Permutable, the work will centre on practical uses for applied intelligence where market signals, risk narratives and operational conditions are changing quickly.
Energy market participants have long relied on price feeds, reported supply and demand data, weather inputs and policy announcements. The growth of renewable power, more active policy intervention and volatile commodity conditions have increased demand for tools that can process information before it becomes visible in slower official datasets or settled market prices.
Permutable’s platform processes large volumes of multilingual information from news, policy sources, market commentary and local-language reporting. It converts that unstructured material into structured signals intended for institutional research, strategy, risk and trading teams, including tools to monitor market narratives, detect early changes in sentiment and track how risks are developing.
Wilson Chan, Permutable’s founder and chief executive, said energy markets show why decision-makers need a stronger intelligence layer. “The challenge is not just the volume of information but understanding what is changing, why it matters and where risk may be building before that is obvious in price or reported data,” he said.
Chan said the accelerator would allow the company to test its technology closer to real energy workflows and work with TotalEnergies experts and other startups in the cohort. The announcement positions the trial as a way to assess where real-time intelligence can add practical value for teams working across future energy markets.
The company recently launched Global Macro Sentiment Indices, extending its point-in-time intelligence framework across more than 95 countries. Those indices cover themes including inflation, growth, monetary policy, fiscal policy, trade, labour markets, political risk and geopolitics.
The TotalEnergiesOn work builds on Permutable’s existing activity in energy and commodities intelligence. During the programme, the company will examine how its real-time energy intelligence for power and renewables can be applied to future energy markets while it continues to develop broader intelligence infrastructure for institutions tracking markets undergoing structural change.
The test comes as energy companies, investors and policymakers seek faster ways to interpret the information flows that shape supply, demand, policy risk and operational decisions. For market desks, the question is whether signals extracted from narratives and sentiment can become a useful complement to conventional data rather than a replacement for it.
