Korean startup Omelet, which builds AI-powered industrial decision platforms, has raised pre-Series A funding from Korea Development Bank, Hyundai Technology Investment, BNK Investment & Securities, and Hyundai Motor ZER01NE.

The company specializes in Optimization AI, blending artificial intelligence with mathematical optimization to automate complex decision-making across industries. Its flagship technology, OaaSIS (Optimization AI Agent System for Industrial Solutions), is a no-code platform that lets companies create and deploy their own AI agents directly into operations. Omelet is already seeing strong traction in challenging sectors like manufacturing, logistics, and defense, where it’s driving measurable efficiency gains.

The fresh capital will help Omelet roll out its AI agent platform more widely and speed up decision automation across industrial settings. The vision is to transform how enterprises make choices: instead of just predicting outcomes, the platform finds the optimal path forward once companies feed in their data. Think of it as an operating system for decision-making.

“Omelet has built a reasoning-based optimization AI foundation model from the ground up and created AI agents that can think and decide independently across different industries,” said Dongwoo Shin, Team Leader at Hyundai Technology Investment. “Their technical capabilities are among the best in Korea. We’re excited to see them grow into a leading AI agent company through partnerships with major corporations and defense firms.”

“This investment is a pivotal moment as we evolve from a tech startup into a platform company that fundamentally reshapes how industries make decisions,” said Jinkyoo Park, CEO of Omelet. “We’re building the global standard for industrial AI—where AI doesn’t just advise, but acts.”

Omelet was founded in 2023 as a KAIST faculty venture by CEO Jinkyoo Park and CTO Changhyun Kwon, both professors in KAIST’s Industrial and Systems Engineering department, alongside doctoral graduates from their labs. The team’s proprietary combinatorial optimization algorithms tackle complex operational challenges quickly and precisely, delivering both efficiency improvements and cost savings.