Deltan Labs originated from the BOMP (Bayesian Optimization for Material Properties) project. It was initiated by Professor Mikko Alava and his dedicated research group at Aalto University’s Department of Applied Physics. Driven by a passion for innovation and a vision for the future of material science, Professor Alava and his team embarked on a journey to revolutionize how material properties are optimized.

The team recognized a growing need in the industry for fast, reliable, and cost-effective optimization algorithms. Traditional methods relied heavily on trial and error and costly consultants, often making material optimization inaccessible to many manufacturers. Determined to fill this gap, the research group focused on developing a tool that could leverage AI and ML to optimize material properties quickly and efficiently.

In 2024, with support from Business Finland and Aalto University, the team launched the BOMP-R2B (Research to Business) project. This validated the technology and commercial potential of a user-friendly software that could be used by industries of all sizes, from small startups to large manufacturing companies.

Today, Deltan Labs is a spin-off from Aalto University, combining advanced Bayesian probabilistic reasoning with practical applications in industrial R&D and production. By combining cutting-edge AI technology with a deep understanding of material science, Deltan Labs empowers companies to optimize complex variables, reduce costs, and achieve their sustainability goals. Join us on this exciting journey and discover how Deltan Labs can revolutionize your optimization processes.