NCS positions sovereign agentic AI for enterprise and public sector scale

NCS is expanding its push into sovereign, production-grade AI systems through a new integration with NVIDIA AI Enterprise software, positioning agentic AI as an operational layer for enterprises and public sector organisations.

The Singapore-based technology services firm said the initiative is designed to help organisations move beyond pilot projects and deploy AI systems that can operate reliably at scale. The focus is on environments where data security, governance and response times are critical, particularly in regulated sectors.

The integration combines NCS’ internal platforms, including Sunshine.AI, Video AI, Physical AI and its AI and Data Analytics Platform, with NVIDIA’s enterprise AI stack. NCS said this enables organisations to deploy AI agents that can interpret requests, make decisions and execute tasks while complying with strict data governance requirements.

Agentic AI shifts from experimentation to execution

NCS is framing the initiative as part of a broader transition from experimental AI deployments to operational systems embedded in business workflows. The company said the expanded engagement builds on its earlier agentic AI solutions announced at the NCS Impact Forum 2025, including Video AI, an agentic AI platform, Machine Learning Operations and AI Operations powered by AI agents.

Since launching its initial solutions, NCS has extended the portfolio into a wider set of systems designed for more complex, mission-critical use cases. This reflects growing demand among enterprises and public agencies for AI systems that can be integrated into live operations rather than remain confined to proofs of concept.

The emphasis on agentic AI aligns with a wider shift across the industry, where organisations are exploring systems capable of taking autonomous actions within defined workflows, reducing manual intervention while maintaining oversight.

Sovereignty and control define deployment strategy

A central feature of the architecture is deployment flexibility across on-premises and cloud environments, allowing organisations to retain full control over sensitive data. NCS said this is particularly important for sectors such as healthcare, financial services, telecommunications and government, where regulatory requirements can limit how and where AI systems are deployed.

By enabling localised data control alongside scalable infrastructure, the platform addresses a key barrier to AI adoption in Asia. Enterprises are increasingly balancing the need for advanced AI capabilities with regulatory expectations around data residency and security.

“Organisations want AI that solves business problems at scale, not just proofs-of-concept, and they want it without risking data security. AI, accompanied by Digital Resilience, is key,” said Sam Liew, NCS CEO-Designate.

Operational use cases anchor the strategy

NCS outlined several use cases where agentic AI systems are expected to deliver immediate value. These include AI-powered service desks that automate customer support workflows, smart video systems that identify safety risks in public environments, and logistics platforms that coordinate warehouse and fleet operations.

The company also highlighted real-time monitoring applications for transport and urban services, where AI systems process live data to support faster emergency responses and operational decision-making.

These examples point to a shift towards AI systems embedded in physical and operational environments, where responsiveness and reliability are critical. The focus is on systems that can act on real-time data, particularly in infrastructure-heavy and public-facing sectors.

NVIDIA integration reinforces full-stack ambitions

The integration with NVIDIA AI Enterprise software strengthens NCS’ positioning as a sovereign AI provider, particularly in markets where enterprises and governments are seeking trusted deployment models.

Rather than presenting AI as a standalone capability, NCS is anchoring it within a broader platform strategy that combines infrastructure, governance and operational execution. This reflects evolving enterprise priorities, where deployability and compliance are increasingly as important as model performance.

By aligning with NVIDIA’s enterprise stack, NCS is signalling a move towards full-stack AI systems that can be deployed, managed and governed as part of core enterprise infrastructure.