Aolani Launches Token Factory to Democratize AI Inference in Asia

Singapore-founded neocloud Aolani today announced the launch of the Aolani Token Factory, a managed inference platform that enables organizations to deploy and scale AI models on a pay-per-token basis without provisioning or managing underlying GPU infrastructure. The launch positions Aolani as the first Singapore-founded neocloud to offer production-grade, managed inference at scale.

As global AI companies expand operations in Singapore and enterprises worldwide invest in AI to drive business outcomes, demand for production-grade inference infrastructure is accelerating. The Aolani Token Factory is designed to close the accessibility gap, providing AI-native companies and enterprises a highly compliant and high-performance path from experimentation to production-scale deployment.

The platform operates on per-token metering: customers pre-purchase credits and pay based on token consumption, avoiding capital-intensive GPU investments. Aolani manages the entire inference stack—GPU capacity allocation, model serving, orchestration, scheduling, and workload optimization—allowing customers to scale consumption without continuous infrastructure provisioning.

At launch, the platform supports leading open-source models including DeepSeek, GLM, Kimi, and Qwen, with plans to expand the catalogue based on demand. Customers can also deploy their own models using OpenAI-compatible APIs. For enterprises with strict compliance and data residency needs, dedicated capacity and data isolation options are available.

The Aolani Token Factory targets three core production use cases: AI agents for high-volume inference and workflow automation; enterprise applications like internal copilots, knowledge assistants, and document intelligence; and coding agents for code generation, completion, testing, and review.

Sea Xu, Applied AI Research Lead at Aolani, said: "The Aolani Token Factory is built on a high-performance inference stack that supports the most in-demand open-source model families. We designed the platform for fast model adaptation and deployment, so our customers can get access quickly as new models emerge. As Southeast Asia's AI ecosystem evolves, it's our goal to ensure infrastructure keeps pace."

Nicholas Chia, CEO of Aolani, added: "Fast-moving AI natives want to build and ship products flexibly, without managing GPU fleets. With competitive per-token pricing and a fully managed stack, companies can go from model selection to production without capital outlay or operational complexity. This milestone will fundamentally change how customers access AI compute."

The launch comes as Singapore solidifies its position as a regional AI hub, with enterprises seeking cost-effective and scalable inference solutions. Aolani's approach reduces barriers to entry, enabling smaller players to leverage advanced AI models without significant upfront investment.

For more information, visit Aolani Token Factory.