Deltan Labs
Status:
SDGs:
Industry:
Impact:
Origin:
School:
Established:
Deltan labs (formerly known as BOMP) uses machine learning to produce the optimal interface between the factory management end-user and raw data from material properties in an industrial production environment. It aims to optimize materials selection, design, and processing via two learning components: exploring and exploiting “small data” to discover hidden patterns.
The machine Learning algorithm is based on probabilistic Bayesian reasoning, also known as Bayesian Optimization, and can be easily adapted to challenging problems in many engineering fields, including but not limited to the design of alloys, fluid mechanics, chemical reactions, and materials processing. The final proof-of-concept is an easy-to-use software interface to hard-core science where a layman can optimize material properties and process parameters without any training. This replaces the need for process/material optimization consultancy with a fraction of the cost.
Read more about innovation services
News from innovation ecosystem
When there is no proof, the story is the evidence — a new Founder Storytelling course at Aalto University
A new course at Aalto University teaches aspiring founders how to build, adapt and deliver the story behind their venture — before the traction, revenue and track record exist.
Take your first steps as a founder — in just six weeks
A new Founder Principles course at Aalto University gives students the tools, mindset and hands-on experience to start building — with AI as a co-founder from day one.
The Dean of the School of Business will honor students for their outstanding contributions to promoting sustainable development
The Dean’s Impact Award is intended to show appreciation for promoting sustainable development and activities in line with Aalto’s values