TLDR
- Tangam Systems is seeing increased demand for AI-driven casino analytics as operators seek better performance management tools
- The company’s new casino performance platform is now live across the US, Europe, Asia, and Australia
- Tangam expects to surpass 300 venues by mid-2026, up from around 200 in October 2025
- Casinos remain cautious about sharing internal data with public large language models due to privacy concerns
- Tangam uses an application layer between casino databases and AI systems to protect proprietary data
Tangam Systems Expands AI Casino Platform Across Global Markets
Tangam Systems is reporting growing interest in its artificial intelligence casino analytics tools as gambling operators look for better ways to manage performance and protect sensitive data.
President Maulin Gandhi said the company’s main challenge is balancing innovation with trust in a heavily regulated industry. He made the comments on the sidelines of G2E Asia 2026 in Macau.
Tangam is known for products like TYM, which stands for Table Games Yield Management, and SODA, short for Slot Optimization & Data Analytics. TYM helps operators optimize table spreads, game mix, pricing, and labor allocation in real time.
SODA focuses on slot revenue and player engagement through recommendations on slot placement, game mix, and patron reinvestment.
The company’s newer product, previously called SODA Plus, has evolved into a broader casino performance platform. Gandhi said it has gained strong traction worldwide.
He said operators want a more unified view of player behavior across gaming products. Rather than treating slots, table games, and electronic table games as separate categories, the platform brings them together.
Gandhi said revenue ultimately comes from the customer, and operators do not distinguish between a table game, an electronic table game, or a slot machine at that level.
The original idea behind SODA Plus was to combine fragmented gaming data into one operational view. That integration is now the foundation for using AI and large language models in casino analytics.
Data Privacy Remains a Key Concern for Casino Operators
The new platform is already deployed in multiple jurisdictions. Those include the United States, Europe, including the United Kingdom and Greece, several Asian markets, and Australia.
Gandhi said the response has been strongly positive. Operators have asked why the platform was not introduced sooner, according to his account of early feedback.
Tangam’s customer base is expanding quickly. The company expects to pass the 300-venue mark by July or August this year. That compares with about 200 venues cited in October last year.
While early growth came mainly from major casino brands and integrated resort operators, mid-sized groups with several properties are now driving adoption. Gandhi said that segment is growing fast because those operators want a centralized view of all their operations.
On the topic of AI risks, Gandhi said casinos remain cautious about exposing internal operational data to public large language models. He warned that using generative AI without adequate safeguards could lead to leakage of proprietary information.
Tangam’s response is to place an application layer between casino databases and large language models. In this setup, the language model understands only the structure and context of the information, not the raw data itself.
Gandhi also cautioned operators not to use AI output blindly. He said AI systems can produce wrong but very confident answers. He compared current AI systems to junior analysts who still need human oversight.
Despite rapid adoption of AI across the casino sector, Gandhi said Tangam’s priority remains reliability and trustworthiness. The company expects to pass 300 venues by mid-2026 as it continues expanding across global markets.
