TP expands AI data services across Asia-Pacific markets
Wed, 27th May 2026 (Today)
TP has expanded its AI data services across Asia-Pacific, reflecting rising demand for AI systems trained in local languages and aligned with national data governance rules.
It is extending TP.ai Data Services across Singapore, Malaysia, Indonesia, Thailand, China, Japan, South Korea and Vietnam. The offering includes data collection, validation, annotation, labelling, model evaluation, analytics operations, and human-in-the-loop governance for AI, machine learning and generative AI projects.
The expansion comes as companies in Asia face a more complex environment for AI deployment than many Western markets, with differing language needs, data residency rules and governance standards across jurisdictions. Businesses are under pressure to adapt AI systems to local operating conditions while maintaining oversight of how models are trained and evaluated.
TP says its regional network of specialist AI workers is designed to help clients prepare and manage the data used to build and refine AI systems for those conditions. It describes this as part of a broader shift away from fragmented data handling and towards more structured operating models for analytics and AI.
Regional demand
Across the region, local-language training data and in-country data handling have grown in importance as regulators and businesses pay closer attention to where information is stored, processed and reviewed. This is pushing service providers to show they can combine technical processes with local knowledge and operational controls.
As an example of its delivery model, TP pointed to a recent customer project in which it created customised warehouse video streams and annotated them with object labels and dimensional data within three weeks. That enabled training of a physical AI model for real-time worker safety risk detection.
The company also highlighted external recognition for its broader data analytics business, noting that the 2026 Data Breakthrough Awards named its data analytics services Overall Data Analytics Platform of the Year.
According to TP, business outcomes linked to that work included up to 31% improvement in customer experience quality scores, up to 30% higher sales conversions, up to 20% improvement in resource forecasting accuracy, and up to 15% gains in workforce efficiency.
Human oversight
TP is also emphasising workforce preparation as AI deployment grows. In APAC, it is investing in training programmes focused on model evaluation, synthetic data, human-in-the-loop and human-on-the-loop orchestration, and AI governance.
That focus reflects a wider market debate about the role of human review in enterprise AI systems. While companies seek greater automation, many still rely on people to check outputs, validate training data, identify bias, and ensure processes align with local legal and cultural expectations.
"The companies seeing real operational impact from AI in Asia are the ones investing in scalable data foundations, in-country execution and human expertise alongside the technology itself," said Dave Rizzo, APAC President, TP.
TP, formerly Teleperformance, operates as a digital business services group in close to 100 countries. Alongside customer care and back-office functions, it provides digital transformation, consulting, localisation, and recruitment process outsourcing services.
The latest expansion highlights how outsourcing groups are trying to secure a larger role in the build-out of enterprise AI systems. Rather than focusing only on software or model access, providers are increasingly positioning data preparation, review, governance and local adaptation as the areas where spending is rising fastest.
In Asia, that argument may carry particular weight because enterprises often have to manage multiple languages, uneven data quality and different regulatory frameworks at the same time. Those conditions can make broad regional deployment harder without local teams that can prepare and assess data within each market.
For TP, the move also supports a broader strategy to reposition its services around AI-led operations. It says enterprise demand is shifting beyond experimentation towards systems that can be deployed in day-to-day operations and monitored against governance requirements.
That trend is likely to intensify competition among business process outsourcing firms, data specialists and cloud providers as companies seek partners that can help them build AI systems suited to local markets without losing control of risk, compliance and performance.
TP says its model combines advanced AI systems with locally trained human expertise, allowing enterprises to scale AI across Asian markets with operational oversight and cultural understanding.