Singtel's RE:AI partners with Mistral in Singapore

On April 27, Singtel Group said RE:AI, part of its Singapore-based digital infrastructure unit, has partnered with Mistral AI, to support AI capabilities for industries in Singapore.

The partnership will focus on co-developing AI infrastructure and solutions for sectors such as financial services, healthcare, and government, combining RE:AI’s cloud capabilities with Mistral AI’s open-source models.

The companies also plan to set up an Applied AI Centre of Excellence to develop and test enterprise use cases, including applications for customer service and network operations.

The move is to strengthen Singapore’s industry AI capabilities.

🔗 Source: Singtel Group

🧠 Food for thought

Implications, context, and why it matters.

The partnership rests on a sovereign AI cloud platform

RE:AI is a sovereign AI cloud built to keep data onshore in Singapore 1.
Singtel offers the service through data centers built for energy efficiency, with direct-to-chip liquid cooling and high-density capacity for AI workloads 1.
NVIDIA GB200 NVL72 chips power RE:AI, while Singtel’s Paragon platform manages cloud and network services 1.
The setup helps organizations handle infrastructure complexity, skills shortages, and rising computing needs that often keep AI stuck at the pilot stage 2.

Singtel is applying agentic AI in its own customer operations

Singtel Group sees itself as an AI adopter, provider, and enabler 3.
Singtel Group started a pilot with Sierra in late January 3. Sierra is an AI startup focused on customer service 3. The work began in Singtel Singapore’s customer care team with its AI assistant Shirley 3.
Shirley is built to understand local expressions, including Singlish, the informal English commonly spoken in Singapore 3.
Singtel said Shirley went live in under 10 weeks. In its first six weeks, it handled more than 70,000 customer cases 3.
Running localised AI in its own operations gives Singtel experience it can use with enterprise clients, linking infrastructure services with lessons from day-to-day deployment.