The announcement was published on August 30 at 11:00 CST. Runjian describes Token-as-a-Service as a way of making AI computing resources available as an on-demand service across ASEAN.
Importantly, the company is not approaching Southeast Asia exclusively from China. It says it has established branches in Jakarta, Kuala Lumpur and Thailand and has business coverage across major ASEAN markets.
That regional footprint matters because AI infrastructure is increasingly becoming a distribution question as much as a computing question.
A small software company developing an AI application for Malaysian manufacturers, Indonesian professional-services businesses or regional legal firms does not necessarily need access to the largest possible model. It needs predictable inference, suitable data handling, workable economics and infrastructure that can support customers in the markets where it sells.
Additional regional infrastructure providers increase the number of options available.
Three ASEAN operating bases strengthen the localisation case
Runjian’s branches in Indonesia, Malaysia and Thailand provide evidence that the ASEAN strategy extends beyond participation in a Singapore technology exhibition.
What remains unclear is more important for prospective customers: public pricing, service-level commitments, detailed availability by country and how its Token-as-a-Service economics compare with hyperscale cloud providers.
Those details will determine whether the infrastructure becomes commercially relevant to smaller software companies.
The wider development is nevertheless worth watching because vertical SaaS increasingly depends on inference economics.
A founder selling an AI workflow for $50 or $100 per user per month cannot ignore the cost of the model calls behind that workflow. Infrastructure that reduces those costs or provides more appropriate regional deployment could make previously marginal products commercially viable.
There is also an integration market around the infrastructure itself.
Regional MSPs, cloud consultancies and AI implementation companies can compare emerging providers with existing hyperscalers and package the appropriate infrastructure for particular workloads. Legal AI, multilingual customer service, industrial monitoring and energy-management applications may have very different requirements.
Runjian’s own product demonstrations point in that direction. Rather than presenting computing capacity alone, the company showed applications spanning enterprise software, legal AI, education and renewable energy.
For smaller ASEAN technology companies, that is the more important signal. Regional AI infrastructure is beginning to arrive alongside application ecosystems. The businesses that understand a specific customer workflow can concentrate increasingly on the application layer instead of trying to reproduce the underlying computing stack.
More information
Source and more information: Runjian Co., Ltd. Showcases Token-as-a-Service and AI Innovations at AIMX Singapore 2026