Fully automated “company-specific” model will be created by Costifier from company’s previous data with machine learning methods. SMEs will use their own model for making highly accurate (> 90%) and fast (1-2 sec) cost and machining time estimations. Costifier will makes cost estimation by calculating the similarity of new products to already manufactured parts using machine learning methods. In addition, it will be possible to increase productivity up to 15% by running “tailor-made” models for more cost-effective manufacturing alternatives.
Usage of Standards for data interoperability:
Costifier uses standard API’s for both data input as well as output. APIs are compliant with all best practices.
*Expose phase is open to all Experiment phase teams
ERSAN TURAN - Co-founder & CEO
More than 10 years experience in the manufacturing industry as a mechanical engineer.
ANIL TURKKAN - co-founder & CTO
He has a PHD in machine learning algorithms and he has about 10 years experience in software development.