Gorilla, the Energy Margin Intelligence platform used by leading energy retailers across the UK and Europe, is building significant momentum as energy companies face increasing pressure to understand, protect and optimise margin in increasingly complex and volatile markets.

This year, Gorilla has expanded its customer footprint, extended its platform with new AI capabilities designed to reduce implementation time and accelerate new propositions to market, and launched new capabilities for complex commercial and industrial (I&C) contracts.

In July, the company’s independently-commissioned Energy Margin Intelligence Index 2026 revealed a striking “Margin Confidence Paradox” among European energy retailers, showing that more than 90 per cent of the 600 senior B2B energy executives surveyed claim to be confident in the accuracy of their margin reporting, yet many acknowledge gaps or delays in reconciling reported sales to actual financial margins. Three quarters cited siloed teams as a barrier to margin optimisation, while most estimated that six to ten per cent of annual revenue could be at risk from poor margin visibility and slow decision-making.

This gap between confidence in reported margin and the ability to consistently connect commercial decisions with actual financial outcomes is the very challenge Gorilla’s Energy Margin Intelligence platform is addressing head-on.

In August, U.S. renewable energy supplier CleanChoice Energy selected Gorilla’s dynamic, matrix-based pricing solution to scale and expand its acquisition pricing capabilities. This will enable CleanChoice Energy to respond more efficiently to market signals and customer dynamics as it expands across competitive markets, including PJM and NYISO, two of the most dynamic and complex retail energy regions in North America. Meanwhile, Gorilla also strengthened its long-term partnership with European energy retailer Luminus, which renewed its Gorilla agreement for a further three years following the successful deployment of its B2B pricing and forecasting capabilities.

“Energy retailers are operating in an environment where volatility and complexity have become permanent features of the market,” said Ruben Van den Bossche, co-founder and CEO of Gorilla. “What we’re seeing from customers is a shift from simply reporting on margin to building their commercial operations around it. CleanChoice is a great example of that – transforming their pricing capabilities and building a more agile commercial engine.”

Gorilla is now extending that approach with a new wave of AI capabilities designed to accelerate pricing configuration, analysis and implementation – helping retailers move faster without reducing complex commercial requirements to generic, pre-built pricing logic. By working with Gorilla’s structured commercial data and calculation engine, AI helps teams configure and adapt pricing logic more quickly while retaining the flexibility and control needed to support differentiated propositions.

The AI is grounded in Gorilla’s structured commercial data and calculation engine, meaning its outputs follow the same underlying logic as the prices, costs, forecasts and margin calculations already trusted by retailers. Rather than replacing commercial judgement, it is designed to augment it – helping teams explain margin movements across contracts, configure pricing logic faster, understand the drivers behind a price and identify calculation or data errors during implementation.

Retailers can use these AI experiences directly within Gorilla or through MCP, connecting the platform with tools including Claude and Copilot. Predefined prompts and access to the same structured commercial data reduce the learning curve for users, while keeping calculations inspectable and auditable.

“Energy retailers already trust Gorilla with the calculations behind their margin,” said Joris Van Genechten - VP Product & Engineering at Gorilla. “AI must meet that same bar by taking the cumbersome work away and leaving the judgement with the retailer. Because our AI is grounded in the structured commercial data and logic already running their business, it can help retailers bring better propositions to customers faster without giving up the flexibility or integrity of the data behind their pricing.”

The AI expansion builds on Gorilla’s wider product development. In July, the company launched a new pre-billing calculation layer for I&C energy contracts, enabling retailers to automate complex contract logic such as blended rates, pass-through adjustments and Take-or-Pay calculations upstream of their billing systems. The capability is designed to reduce manual processes and margin leakage while giving retailers a more traceable view of how contracted intent translates into billable outcomes.

Gorilla has been recognised internationally, winning Best Product for Energy & Utilities at the 2026 SaaS Awards. The award recognises Gorilla’s approach to connecting pricing, trading, risk, consumption, settlements and finance data to give energy retailers a shared view of commercial performance.

The company has also brought the industry together this year through The Energy Edge: Margin by Design, held in June, and will continue the conversation on Tuesday 17th November with The Energy Edge: Agentic Frontier in London, exploring how AI and agentic technologies could change commercial decision-making in energy.

“AI will change what energy retailers can do but it doesn’t remove the need for strong commercial foundations,” added Van den Bossche. “The opportunity is to combine connected data, consistent commercial logic and margin intelligence with increasingly capable AI – moving from understanding what happened, to deciding what to do next, and ultimately to governed action.”

With continued customer growth, product expansion and investment in AI, Gorilla is positioning Energy Margin Intelligence as a core layer of the modern energy retailer’s commercial infrastructure.