EveryMatrix turns data into growth and reinforces role as strategic partner

EveryMatrix presented on 12 October 2026 its strategy to convert the volume of data it collects across products and clients into commercial growth levers, aiming to move from technology vendor to strategic partner for operators. The company says artificial intelligence accelerates that transition by making it easier to structure, interpret and act on data at scale, both with customers and internally.

EveryMatrix data: turning information into product and advice

EveryMatrix has access to large volumes of information generated by its platforms, customers and markets. The priority now is to transform that data into actionable outputs that help better understand operators and players. The company describes this move as shifting from offering only reporting and analytics to integrating data into commercial and product decisions.

Combining customer data with an aggregated view of player behaviour across different jurisdictions allows EveryMatrix to identify patterns and more precise recommendations. That, in turn, helps operators segment audiences and tailor offers and promotions to specific player profiles.

## How EveryMatrix uses artificial intelligence for analysis and product

EveryMatrix identifies two main uses of artificial intelligence. The first is improving products and how data is presented to clients; the second is optimising internal processes and team workflows. The company maintains that the value of AI is not in producing more information, but in helping convert existing information into clear decisions and executable actions.

"AI is creating new opportunities to work with data more efficiently and extract greater value from it," said Jonas Groes, Co‑CEO of EveryMatrix, in the interview published by iGB.

The company applies AI models to structure heterogeneous data, automate recurring insights and provide visualisations that simplify interpretation for commercial and product teams. Internally, AI is used to prioritise tasks, reduce friction in development cycles and accelerate feedback between product and customer.

## From vendor to strategic partner: what changes in conversations with customers

The biggest effect of the data focus is on the nature of conversations with operators. Where historically a vendor responded to specific requests, EveryMatrix now seeks to challenge and advise with evidence based on data. That consultative orientation allows proposing product changes, market strategies or commercial models better aligned with the client’s reality.

The model is especially relevant in revenue-sharing contracts, where the incentives of operator and vendor are aligned. In those agreements, data-informed decisions can translate directly into changes in shared revenues.

## The feedback loop between product and data

EveryMatrix describes a cycle: the product generates data; the data shows how players and markets interact; the insights feed product decisions. That feedback reduces reliance on purely reactive responses and allows prioritising developments that reflect real use in each jurisdiction and customer.

The company highlights that this approach makes products more relevant by market and by customer. The cycle also helps articulate roadmaps where improvements come from empirical evidence rather than isolated requests.

## Implications for operators and iGaming suppliers

For operators, EveryMatrix’s offering means access to data-driven consultancy without losing the separation between recommendation and operational execution. The largest operational risk for an operator would be failing to exploit those insights in markets where product personalisation drives conversion differences.

For vendors and platforms, the lesson is clear: being able to offer everything from analytics to product and operations execution will differentiate those aiming for long-term relationships. Vendors that integrate data capture, AI models and actionable deliverables will be better placed to compete for higher-commitment contracts.

## What clients expect to see and what teams must prepare

Clients expect vendors to translate data into clear recommendations on product, acquisition and retention. EveryMatrix’s teams — and their clients’ teams — must prepare processes that close the loop between data capture, analysis and deployment of product changes.

Operational elements include robust data pipelines, governance policies that enable sharing insights with clients and visualisation capabilities that facilitate day-to-day decisions. For operators seeking that relationship, EveryMatrix offers an approach that combines consultancy and product; for vendors, it requires shifting resources toward analytical and AI capabilities.

## Higher-quality conversations as a sign of trust

EveryMatrix places the proof of change in improved conversation quality with clients: when operators discuss and adapt their operations based on the vendor’s insights, the relationship has evolved beyond technical support. According to the company, that practical adoption of data is the true value of the strategy.

The interview with Jonas Groes was published by iGB and provides public context for the approach EveryMatrix promotes in its relationships with operators and partners. The company has not disclosed additional investment figures or concrete timelines for full implementation of the initiatives described in the interview.

## Relevance for the iGaming market in 2026

EveryMatrix’s move reflects a wider industry orientation toward data- and AI-based working models, where vendors seek to consolidate as growth partners. For operators considering long-term alliances, a vendor’s ability to turn data into decisions and product will become an increasingly decisive contractual criterion.

For sector analyses and specific use cases, commercial and product leads can consult resources in our b2b section and product reviews in our casino coverage.