$10m · Series A · Energy · London, UK
Gridcog has raised a $10m Series A led by ABB Electrification Ventures, with participation from Axpo Ventures, DNV Ventures and VERBUND X Ventures. Existing shareholders AlbionVC and the Clean Energy Finance Corporation continued to back the company. The London-headquartered energy software business will use the capital to expand into more markets and asset types and deepen its modelling platform.
Gridcog helps developers, investors, utilities and large energy users model the commercial performance of flexible energy systems. Its browser-based software combines market data with simulation and optimisation tools for projects such as battery storage, renewable generation, EV charging, flexible loads and assets that share a grid connection.
Turning project combinations into comparable decisions
Energy projects are becoming harder to assess as developers combine generation, storage and demand flexibility. Each component responds differently to market prices, operating constraints and grid limits. Gridcog's commercial proposition is to replace one-off spreadsheets and consultancy models with a repeatable software environment where teams can compare configurations and revenue structures across markets.
That matters because the value of a hybrid project depends on interactions between assets, not only the economics of each asset in isolation. A battery may earn from price spreads, grid services or reduced connection costs, while a flexible load changes when electricity is consumed. Modelling those choices together can help a developer decide which configuration is worth financing before committing capital.
Strategic investors also create a distribution test
The investor group spans industrial electrification, energy trading, assurance and power generation. VERBUND says Gridcog is already used across more than 40 markets, while customers named by the company and investors include Shell, Octopus Energy, ABB, Amazon, EY and PwC.
Those relationships may help Gridcog reach complex projects and new geographies, but the product still has to stay transparent as its model coverage grows. Customers making investment decisions need to understand the assumptions behind a forecast and update them as market rules change. The Series A therefore funds both distribution and the less visible work of maintaining reliable models across more assets and power markets.
