Tomologic offers cloud based Intelligent Services to leading machine builders, enabling their customers to achieve smarter utilization of material, power, time, and machinery. Machine builders can easily integrate Tomologic’s Optimization as a Service with their product portfolio.
We are an important part of the Fourth Industrial Revolution, combining Artificial Intelligence techniques with traditional optimization problems, thus leveraging significant competitive advantages as well as a unique opportunity to save over 1% of global carbon emissions.
As an employer Tomologic offers the best of two worlds: the financial stability and benefits of a grown up company while still having the social culture and low-overhead innovative momentum of a startup. Tomologic’s Engineering team consists of close to 20 professionals including experts in advanced algorithm design, artificial intelligence and development of high performance computing cloud solutions. Tomologic is privately owned with solid backing from external industrial investors.
Tomologic’s Business, Research and Development office is situated in the center of Stockholm, Sweden.
The Crew
Stanislav makes sure our software has somewhere to run. He also enjoys hacking Kubernetes and Docker based test and packaging of software.
Tomas is an experienced software engineer with an MSc in computer science from Uppsala University. At Tomologic he works with quality control and test automation.
Magnus has a research background in digital image analysis with a PhD from Uppsala University. He is a member of the R&D team, improving Tomologic's placement optimization engine.
Bärbel has a background in numerical analysis with a PhD from Heidelberg University and positions at the University of Bern and the Royal Institute of Technology. She is a member of the R&D team, improving Tomologic's placement optimization engine.
John has a research background in theoretical Astrophysics, with a PhD from Uppsala University. He has a broad experience from other software fields, such as security and surveying. He is a member of the R&D team, and often focuses on geometrical algorithms.
Zayenz has a research background in constraint programming from his PhD studies at KTH, from where he also has an MSc in formal methods. He is a member of the R&D team, focused on improving Tomologic's placement optimization engine.
Per is a consultant from RISE SICS.
Micke has an engineering, test, and research background and holds a PhD in electronics systems design from the Royal Institute of Technology. At Tomologic he works with quality control and test automation.
Magnus holds an MSc in industrial management from KTH and has an extensive background from the manufacturing industry with hands on experience from all major machining processes. He is the founder and CEO of Tomologic.
Josefin holds an MSc in industrial management from KTH and has a background from sales, startup and management consulting. Josefin is working with business development and HR.
Magnus has a research background in combinatorial optimization with a PhD from Uppsala University. He is a member of the R&D team, improving Tomologic's placement optimization engine.
Anders holds an MSc in Engineering Physics from Uppsala University and has extensive experience in developing computer vision algorithms for industrial robots. He is a member of the R&D team, improving Tomologic's placement optimization engine.
Helena holds an MSc from KTH and has experience from areas such as engine control unit on-board diagnostics and nuclear industry probabilistic safety assessments. She is a member of the R&D team, improving Tomologic's placement optimization engine.
Jim holds a PhD in computer science from Uppsala University. He is mainly part of the R&D team, responsible for planning, designing and improving Tomologic's core services. He is also responsible for Tomologic's technological direction and research projects.
Tomologic offers cloud based Intelligent Services to leading machine builders, enabling their customers to achieve smarter utilization of material, power, time, and machinery. Machine builders can easily integrate Tomologic’s Optimization as a Service with their product portfolio.
