EveryMatrix seeks deeper client partnerships through data and AI - EveryMatrix News

EveryMatrix seeks deeper client partnerships through data and AI

Gregori Smitt, News Manager

Gambler.One is created for gambling fans with a goal to gather a wide range of professionals and players in one place, no matter their scale or volume of play.

EveryMatrix
Co-CEO Jonas Groes told iGB in an interview published on 12 October 2026 that the company is shifting from a pure technology supplier to a strategic growth partner by leveraging data and artificial intelligence. He explained that deeper insights into operators and their players allow EveryMatrix
to advise clients on product decisions and market opportunities.

Data-driven partnership approach


Groes said EveryMatrix now combines the data it collects from its own products with information shared by clients and partners to build a fuller picture of player behaviour across markets.
By analysing this combined dataset, the firm can identify trends that are specific to individual operators as well as broader industry patterns, which informs more tailored product recommendations.
The shift means conversations with clients move beyond simply fulfilling technical requests to offering strategic advice that aligns with the operator’s growth goals.
Internally, AI tools help EveryMatrix’s teams automate routine data processing tasks, freeing analysts to focus on interpreting results and shaping strategy.

AI enabling feedback loop and product development


Artificial intelligence acts as an accelerator for EveryMatrix’s data strategy, helping structure and interpret large volumes of information quickly.
Groes highlighted two areas where AI adds value: improving the presentation of data to clients and making internal workflows more efficient.
He also described a feedback loop in which products generate usage data, those insights are fed back into development cycles, and the resulting refinements make the offering more relevant to specific jurisdictions and player preferences.
This approach reduces reliance on reactive updates and encourages product decisions that are grounded in real-world market feedback.

Building trust through deeper dialogue


According to Groes, the quality of conversations with clients now serves as the clearest indicator that EveryMatrix has moved from supplier to trusted partner.
When operators act on the insights shared and adjust their operations accordingly, it shows that the relationship delivers mutual value.
He concluded that the real benefit of data lies not in recounting past events but in helping clients decide what to do next.