DB-Investing-AI Expanding technology footprint

DNA

      ISLAMABAD,   September 2026 – An international services and trading brand, DB Investing has launched dbinvesting.ai,  marking its strategic evolution from a traditional brokerage into an AI-first fintech and technology company. Download Interactive Maps

      Its AI Core Engine is designed to support trading, investing, education, market intelligence and operations.

       Chief Executive Officer at DB Investing, Gennaro Lanza while commenting on the new development said, “We do not believe that adding a chatbot to a website makes a financial company an AI company.”

The CEO said the company has spent a long time developing an infrastructure where AI becomes part of the core of company, its products and eventually the entire customer experience, says a press release.

      It also considers risk behaviour, drawdowns, concentration, discipline and changes in behaviour over time.

   Giving further details, he said, dbinvesting.ai is intended as the foundation for a wider ecosystem.

  The  roadmap of DB Investing,  providing access to global market, includes Wealth Copilot, AI Traders University, AI financial assistants, portfolio analytics, account connectivity, personalised education as well as trading behaviour, risk and market intelligence.

The company envisions these services ultimately operating on the same AI Core Engine across customer-facing products and internal operations.

“This is not a feature we are adding to DB Investing. It is the beginning of changing what DB Investing is,  Lanza maintained.

        He said, “Our objective is an AI infrastructure capable of sitting beside every trader and investor, understanding their behaviour and giving them intelligence that historically required several platforms.”

The eligible users receive monthly AI credits while advanced users can also connect supported AI services using their own API credentials.

Similarly, DB Investing’s AI Traders University has been built around an AI mentor to analyse how each trader behaves in the market. The other objective being its design is to identify patterns such as late entries, increased position sizes after losses, early exits from winning trades and prolonged losing positions.

The system also examines overtrading, activity during volatile periods, disregard for personal risk rules and repeated mistakes, including concentration in correlated markets.

It is mentioned here that DB Investing through dbinvesting.ai is developing fintech, AI and trading technology that connects trading, investing, market intelligence and education.