Company Name:


Incubation Round:


Application Track:

Track 1

Proposed by:


Data Provider:


Challenge Name:

Data-Based Optimisation of Manufacturing Processes

Product Description

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.

Reach Timeline

*Expose phase is open to all Experiment phase teams


Ankara, Turkey


Manufacturing / Industry


Company maturity:

Pre-MVP and MVP

Investment level:


Funding raised:

< EUR 500,000

Collaboration opportunity:

Company Description

Costifier is a spinoff project of SFM YAZILIM TEKNOLOJILERI A.S. ("SFM") which is a technology start-up company working on machine learning methods for manufacturing industry problems. SFM was founded in May 2019. The main purpose of the company is to create economical solutions for fundamental problems in the manufacturing industry. SFM focuses on the cost-effective solutions that can be applied to manufacturing SMEs by machine learning algorithms, such as cost estimation for bidding. SFM's vision is to be the one of pioneer machine learning software company in manufacturing industry.

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.