Generative AI-Based Decision Automation Solution 'Omelet' Secures Seed Investment

Secured seed investment from Kakao Ventures
Automatic resolution of decision-making problems in industrial settings
Expected to be utilized in various industries such as logistics, robotics, and pharmaceuticals

Omelet, a company developing generative AI-based decision automation solutions, announced on the 28th that it has secured seed investment from Kakao Ventures.

Omelet is developing an AI optimization 'solver' that automatically resolves complex decision-making problems in industrial settings. It uses generative AI to solve 'combinatorial optimization' algorithms, which determine the optimal sequence of tasks and resource allocation. Combinatorial optimization refers to finding the best solution among numerous possibilities in situations where mathematical calculations alone are insufficient, often applied to reduce inefficiencies and boost productivity in industrial environments. Typical examples include determining transportation routes, facility operations, and task processing sequences for resource allocation.

The 'solver' is provided as a Software as a Service (SaaS). Companies can build a customized decision-making system by simply inputting problem data. Omelet has built a learning dataset by repeatedly solving combinatorial optimization problems across various industries, enabling it to find solutions to arbitrary problems. This approach allows for faster and more accurate calculations compared to traditional methods where engineers analyze system characteristics, build mathematical models, and apply appropriate algorithms. It is expected to reduce reliance on experts and solve problems within companies at a lower cost.

Omelet's technology can be utilized in various industries. Currently, it is applied in logistics system operations and autonomous robots within factories. Omelet is also conducting proof-of-concept (PoC) for logistics delivery optimization algorithms with logistics companies, demonstrating its effectiveness. The company plans to expand its technology to semiconductor design and new drug development. This year, it aims to launch OaaSIS (Optimization as a Service•Infra•System), a logistics delivery optimization software that optimizes task allocation and sequencing for logistics delivery.

Omelet is a KAIST faculty startup founded in 2023 by Professor Jin-Kyu Park and CTO Chang-Hyun Kwon from the Department of Industrial and Systems Engineering at KAIST, along with PhD graduates from their research labs. The Omelet team has demonstrated its technological prowess through long-term research and industry-academia collaboration, publishing over 20 papers in prestigious AI conferences such as NeurIPS, ICML, and ICLR. The team is recognized for its expertise in developing decision-making techniques applicable to complex industrial settings.

Won-Yeol Jang, Senior Investment Manager at Kakao Ventures, explained the reason for the investment, stating, "Omelet is a team with world-class AI technology and optimization capabilities. They will make their presence felt in the market by addressing issues such as labor shortages and rising energy costs in logistics and manufacturing environments."

Jin-Kyu Park, CEO of Omelet, stated, "While existing generative AI models provided services that automated tasks humans could perform more efficiently, Omelet's generative AI optimization technology will be an innovative service that solves complex problems humans could not solve. We will continue to grow to provide solutions that overcome numerous inefficiencies in industrial settings."