Datumo’s Series B Signals a New Chapter for AI Infrastructure in Asia
Founded in 2018, Seoul-based Datumo — formerly known as SelectStar AI — has gone from an ambitious data engineering startup to one of South Korea’s most promising AI infrastructure companies. In just three years, it has rapidly gained traction by tackling a problem that AI developers everywhere face but few talk about: the messy, complex, and often painfully slow work of preparing data for machine learning.
Where most AI buzz centers on model architecture or compute power, Datumos staked its future on the unglamorous — but mission-critical — task of building robust, scalable data pipelines. Their platform automates and optimizes the process of collecting, cleaning, and structuring data, enabling enterprises to train and deploy AI models faster and more reliably. It’s a pitch that has resonated with Korea’s growing base of tech-forward corporations and, increasingly, with international players.
That global attention crystallized this week when Salesforce Ventures joined the company’s Series B funding round. For Salesforce Ventures, it’s another calculated bet on AI’s supporting infrastructure — the rails on which the next generation of intelligent applications will run. For Datumos, the move is more than just capital; it’s a bridge to global markets, enterprise customers, and potential integration with some of the most widely adopted cloud tools in the world.
The deal also signals something bigger happening in the region: a new wave of Korean AI companies positioning themselves not just for domestic success, but for global relevance. And in the high-stakes race to arm the world’s enterprises with AI, the quiet work of fixing data bottlenecks might just be one of the smartest plays of all.
Source:
A.M.
