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.
The founder’s most recent roles are well known in the region’s marketing community. Entropia, the firm he founded, was acquired by Accenture Interactive and integrated into Accenture Song. That phase exposed many brand leaders to a combination of creative transformation and platform modernization. The new consultancy is being pitched as a more focused vehicle that concentrates on measurable growth problems such as conversion lift, media mix optimization, next best action and service automation. Client names were not disclosed at launch. Use cases were described in generic terms that are common across enterprise AI programs, including propensity modeling, dynamic creative at scale and agent assisted service.
Market data provides context for the addressable opportunity. Asia remains the fastest growing region for enterprise AI spending by several analyst estimates. Adoption is being driven by improvements in language and speech systems for multilingual markets and by the rise of agentic workflows that string together tasks across marketing, sales and service. The majority of large brands continue to cite first party data quality and model governance as constraints. That has created demand for partners that can help structure consent, feature stores and model registries while keeping business users in the loop with dashboards and approval flows that are auditable.
The whole brain positioning places emphasis on balancing statistical optimization with brand and experience judgment. This line has been taken by many global marketers who have argued that AI can accelerate pattern detection and testing while human teams must still decide why an action is appropriate. Strong interest has been seen in frameworks that blend experimentation with safeguards such as bias checks, holdouts and post campaign reviews. In highly regulated categories such as banking and insurance, explainability and documentation have been given priority. The consultancy has stated that validation practices and model documentation will be part of delivery so that client compliance teams can review and sign off.
Hiring signals suggest that the firm is assembling capabilities across data science, data engineering, experience design and growth strategy. Kuala Lumpur has been selected as an operating base because of talent availability and proximity to regional decision centers. Bengaluru has been identified as a delivery and innovation hub that can support India based clients and serve as an engineering backbone. The footprint in the United States has been presented as access to ecosystem partners and emerging research communities. This hybrid setup is consistent with how many boutique consultancies in Asia scale early engagements without heavy overhead.
The firm enters a crowded field where global integrators, cloud providers and performance agencies are expanding AI service lines. Differentiation will likely be tested on measurable business outcomes and the ability to move from proof of concept to production within a defined window. Expectations from marketers are clear. Solutions must connect to existing martech stacks, respect consent flags, deliver explainable outputs and show incremental value with statistically sound methods. The launch of EnterMind will be watched for the depth of case studies that emerge over the next year and the degree to which clients can report sustained lifts rather than short term experiments.