On a August morning in 2025, a Singapore AI firm called Ba0Ba0 and the database company OceanBase announced they will build AI automation tools together for businesses in Singapore and the wider Southeast Asian region. It is the kind of pairing that recurs whenever a technology's promise meets the plumbing that must hold it: a model meant to run cheaply on ordinary processors, joined to a data engine meant to keep information in one place. Yet the account rests almost wholly on the companies' own words, delivered through a press release, and the costs they promise and the results they describe
Ba0Ba0 and OceanBase Partner on Low-Cost AI Automation for Southeast Asian Enterprises
The zero-cost and efficiency claims rest on the companies' word for now.
Mark
So what has actually been announced here?
Mimi
A partnership. Ba0Ba0, a Singapore AI firm, and OceanBase, a distributed database company, will co-develop AI automation for enterprises in Singapore and ASEAN, aimed at banking, healthcare and retail.
Mark
What's the pitch?
Mimi
Ba0Ba0 says its model has no token fees and no licensing costs and runs on CPUs locally, so companies avoid cloud GPU bills. OceanBase supplies the database, including vector search inside SQL.
Luke
I'd stop on "zero cost." That is Ba0Ba0's own description. The release gives no pricing, no benchmarks, and doesn't say who pays for deployment, support or hardware.
Mark
Does the customer list help?
Mimi
It names Trip.com Group and Lalamove, which built systems on OceanBase's AI database features.
Luke
Right, but those are OceanBase customers. Nothing says they use Ba0Ba0, or that the joint product exists beyond the plan. The 2,000-customer figure is also OceanBase's own number.
Mark
And the satellite mention?
Mimi
The founder says the Ba0Ba0 LLM will fly on a cubesat in December as part of the Tristar mission with the Russian space agency.
Luke
That's a stated plan from one party, unconfirmed, and unrelated to the database deal. I'd treat it as an aspiration until someone else confirms it.
Mark
What would settle it?
Mimi
Named enterprise customers, actual pricing, and independent performance tests.
Le Pouls
- A Singapore AI startup and a database firm have joined forces to sell cheaper, CPU-based AI automation across Southeast Asia.
- Their central claim of zero usage fees and zero licensing costs has no published pricing or independent evidence behind it yet.
- The partners are courting banking, healthcare and retail, sectors where data sensitivity and reliability raise the stakes of any failure.
- Named customers, pricing details and third-party performance results are still missing, so the deal's real traction remains unproven.
On a August morning in 2025, a Singapore AI firm called Ba0Ba0 and the database company OceanBase announced they will build AI automation tools together for businesses in Singapore and the wider Southeast Asian region. It is the kind of pairing that recurs whenever a technology's promise meets the plumbing that must hold it: a model meant to run cheaply on ordinary processors, joined to a data engine meant to keep information in one place. Yet the account rests almost wholly on the companies' own words, delivered through a press release, and the costs they promise and the results they describe have not yet been tested by anyone outside the deal.
On August 14, 2025, Ba0Ba0, a Singapore-based AI company, announced a partnership with the database firm OceanBase to co-develop AI automation products for enterprises in Singapore and across ASEAN. The news arrived through a press release, so most of what follows is the companies describing themselves and their plans in their own terms.
Ba0Ba0 presents its model as zero token and zero licensing cost, running on a local large language model that works CPU-first. The pitch is that customers can deploy AI without expensive cloud GPU infrastructure or usage-based fees, keeping their data and spending under their own control. The company also says it began with charitable roots and stays privately owned to protect a public-service mission.
OceanBase supplies the data layer, a distributed database launched in 2010 that handles transactional, analytical and AI workloads in a single engine. Its built-in vector capabilities allow AI work to happen directly within SQL, which the companies say simplifies the stack and supports hybrid searches across structured and unstructured data. Target uses include recommendation engines, retrieval-augmented conversational systems and enterprise AI agents, aimed at banking, healthcare and retail.
The release cites existing OceanBase users, including Trip.com and Lalamove, as proof of track record, though neither is a Ba0Ba0 customer. Founder Jesslyn Wong framed the mission as making AI affordable for businesses of any size, and also announced a plan to deploy the Ba0Ba0 model aboard a cubesat in December as part of a mission with the Russian space agency. OceanBase's APAC general manager, Hong-Chia How, described the partnership as a response to explosive data growth and invited more partners to join.
The announcement omits pricing, named joint customers, a launch timeline and performance figures. Its cost and efficiency claims therefore remain untested, and the signals worth watching are the first named clients, the real-world cost model, and any independent evaluation of the product.
On August 14, 2025, a Singapore-based AI company called Ba0Ba0 announced a partnership with the database firm OceanBase. The two plan to co-develop and expand AI automation products for enterprises in Singapore and elsewhere in ASEAN. The announcement came as a press release distributed through PR Newswire, so nearly everything in it is the companies' own description of themselves and their plans.
Ba0Ba0 describes its model as zero token, zero licensing cost, built on a local large language model that runs CPU-first. In practice, the company says, that means customers can deploy AI without relying on expensive cloud GPU infrastructure and without paying usage-based fees. It says the design lets organizations keep control of their data and costs. The company also says it grew out of charity roots and remains privately owned to protect a public-service mission.
OceanBase brings the data layer. Launched in 2010, it is a distributed database that handles transactional, analytical and AI workloads through one engine. Under the agreement, Ba0Ba0 will build OceanBase's AI-ready, multi-cloud distributed database into its automation products. The stated goal is better efficiency, reliability and scalability for enterprise backends, with secure, high-performance deployments.
The release leans on OceanBase's built-in vector capabilities, which allow AI development directly within SQL. According to the companies, this simplifies the AI stack and allows hybrid searches across structured, semi-structured and unstructured data. They say it also brings OLTP, OLAP and AI workloads into a single database. The applications they name include intelligent recommendations, conversational systems built on Retrieval-Augmented Generation, and enterprise-level AI agents. Target sectors are banking, healthcare and retail.
For evidence of OceanBase's track record, the release cites two customers. Trip.com Group built a hotel image retrieval and display system on it. Lalamove developed a loss-prevention code recognition system and an AI assistant for data warehouse inquiries. OceanBase says it operates in more than 170 availability zones across over 50 geographic regions on Amazon Web Services, Google Cloud, Alibaba Cloud and Tencent Cloud, and that it has helped over 2,000 customers worldwide upgrade their database systems. Those customers and Trip.com and Lalamove use OceanBase's own technology; none is named as a Ba0Ba0 customer.
Jesslyn Wong, founder of Ba0Ba0 AI, said the mission is to make AI affordable, accessible and impactful for every industry regardless of size or budget. She also announced something well outside the partnership's scope: this December, she said, the Ba0Ba0 AI LLM is set to be deployed aboard a cubesat satellite as part of the Tristar mission, in collaboration with the Russian space agency. She called it a milestone in making AI truly universal.
Hong-Chia How, General Manager of the APAC market at OceanBase, framed the deal around data growth. He said the new AI era, with exponential growth in data warehouses, brings opportunity alongside challenges in storing, managing and analyzing data. He said OceanBase is evolving from an integrated database into an AI-ready data platform, with AI as a core strategic pillar. He invited organizations exploring AI use cases, and SaaS providers wanting to transform their applications, to partner with the company.
The release gives no pricing, no named enterprise customers for the joint offering, no launch timeline and no performance figures. The zero-cost and efficiency claims therefore rest on the companies' word for now. What to watch: the first named customers, how the cost model works in practice, and any independent testing of the combined product.
Citations marquantes
Our mission has always been to make AI affordable, accessible, and impactful for every industry, regardless of size or budget.— Jesslyn Wong, Founder of Ba0Ba0 AI
OceanBase is evolving from an integrated database into a comprehensive, AI-ready data platform, with AI as a core strategic pillar.— Hong-Chia How, General Manager, APAC, OceanBase
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