Kohort, a London-based mobile gaming analytics, forecasting, and UA optimisation company, has closed its €5.9 million ($7 million) Series A funding round to build user acquisition (UA) agents for mobile game studios.
The round was led by The Raine Group (Raine), a New York-based global merchant bank with an integrated focus on both advisory and principal investments in the Technology, Media, and Telecommunications (TMT). Raine has invested in Kohort’s Seed round.
“We are building agents – not just a Claude wrapper – and the predictions underneath them, to make that possible. User acquisition is one of the most critical and difficult operations for a mobile gaming studio. The best UA teams operate more like high-frequency traders than marketers, and they need agents that act on real context, not vague signals,” said Dan Marcus, CEO of Kohort.
Founded in 2018, Kohort is a mobile gaming analytics, forecasting, and UA optimisation company with an ML-based predictive analytics platform built for decision-makers in the gaming and consumer sectors.
It helps mobile game studios, operators, finance teams, and investors optimise user acquisition spend and perform M&A due diligence, using machine learning and cohort-based forecasting.
“Kohort’s thesis is that in a world where every AI company is racing to give agents the right context, accurate long-term predictions are the only context that matters for UA. That conviction sits at the core of the UA operating system that Kohort is building,” the company mentioned in the press release.
According to Kohort, current UA agents naively optimise campaigns with low or no context of the ad network algorithm and how it reacts to changes in signals, the conflict between short- and long-term LTV (“whales”) and its implication on Return on Ad Spend (ROAS), and the ultimate goal of a game studio – wasteless UA spend while scaling revenue.
The company is focusing its agent suite on three capabilities. The first is campaign optimisation and the expansion of Kohort’s flagship product, Ktrl. Kohort states that Ktrl generates network-specific bidding strategies and targets for every campaign a studio runs. It supports ROAS, CPI, and CPE/CPA campaign types and integrates directly with ad networks to drive every campaign towards 100% ROAS.
The second is on-demand research into any UA trend, cross-referenced against a studio’s historical data and benchmarked against the nearly €850 million ($1 billion) in annual spend flowing through Kohort’s platform. This is equivalent to the investigative work of a senior UA manager, achieved with the click of a button.
The third is automated reporting, which delivers tailored, comprehensive decks and reports automatically, so every function, from CEO to Product, and from LiveOps to UA, operates from the same source of truth.
Kohort states that all three agents are backed by its predictive models, which are trained on €5.1 billion ($6 billion) of historical UA spend across hundreds of games. The company reports that these agents deliver daily campaign-specific predictions with 95% accuracy. The platform integrates with a studio’s existing data warehouse and trains client-specific models in under 20 minutes.
“Kohort has a clear pathway to become a category-defining platform in UA Agents and solve the biggest problem in mobile apps today. The Kohort team is lean, AI-native and delivers high-quality results at speed. We believe that Kohort’s predictive LTV capabilities and UA optimisation technology provide the building blocks for future partnership opportunities, including the potential for a new product around user acquisition financing,” said John Salter, Partner and co-founder at The Raine Group.
Read the orginal article: https://www.eu-startups.com/2026/05/londons-kohort-raises-e6-million-series-a-to-build-ai-user-acquisition-agents-for-mobile-game-studios/
