EnterMind launches with focus on real-world AI adoption in SEA and India - test1

Singapore-based EnterMind has been launched by Prashant Kumar to serve enterprises that are moving from AI pilots to production at scale. The consultancy has been positioned around what it calls a whole brain AI approach that combines data engineering with applied human insight. Operations are being anchored out of Kuala Lumpur with a reported team of about two dozen specialists. Additional presence has been indicated in Bengaluru and Silicon Valley to support clients across Southeast Asia and India. Early focus areas have been identified as retail, telecommunications, insurance and financial services where margin pressure and rising customer expectations have accelerated AI adoption.

The proposition has been framed against a familiar backdrop for large marketers. Many firms have invested in models and data platforms while return on those investments has remained uneven. Industry surveys continue to show an implementation gap between experimentation and day to day decisioning. It has been argued by consultants and brand leaders that the barrier is no longer model accuracy alone but orchestration across data plumbing, governance and change management. EnterMind has been positioned to sell a joined up stack that spans strategy, data fabric, model operations and experience design, with delivery led by mixed teams of data scientists and practitioners from media and commerce.

The timing of the launch reflects broader regional momentum. Southeast Asia’s digital economy continues to expand on the back of high mobile penetration, social commerce and rapid cloud adoption. Marketers in retail and consumer goods have been shifting budgets into retail media and performance channels that offer clearer outcome measurement. In financial services, AI has been deployed to improve fraud detection and underwriting while personalization initiatives have been limited by consent and explainability requirements. Demand signals from these categories have created room for specialist partners that can translate business problems into deployable AI workflows that comply with internal and external policies.