We help manufacturers gain a deeper understanding of materials.
MiViA's AI equips quality management teams to make more informed decisions for superior business results.
Our story
In 2012 Dr. Grzegorz Korpala initiated his research on microstructure at TU Freiberg. Together with industry leaders he developed a first prototype for AI-based microstructural analysis.
MiViA received ~1 million euros in funding from EXIST.
Finally, we can enable customers to perform faster and more objective analyses and improve their product quality.
In 2022 we released Grain Size Detection as a first Product and started testing it together with industry partners.
After listening to feedback we introduced MiViA 1.0 to the public market in 2023 with Grain Size, Retained Austenite analysis.
Our Team grew to 10 wonderful people in 2024.
Our Executive Team
Miriam Corcoran
CEO and Co-Founder
After her first successful company in Abu Dhabi and her MBA at the University of Freiberg, Miriam worked for EY as a consultant for digital project business for five years before co-founding MiViA together with Grzegorz in 2021.
Dr. Ing. Grzegorz Korpala
CTO and Co-Founder
After completing his double degree in microstructure characterization and subsequent doctorate, Grzegorz was responsible for research in the field of industrial process monitoring at the TU Freiberg.
This was when in 2012 he discovered the amazing applications for AI in process monitoring and an Idea formed.
Jessica Schneider
CSO and Co-Founder
During her diploma thesis in the field of microstructure characterization, Jessica worked as a project manager in the Formula Student Team at the University of Freiberg and found her way directly into the MiViA team through her collaboration with Grzegorz.
Transcript of the video
Hello and welcome to MiViA. My name is Miriam Corcoran. I am a co-founder, and I would like to briefly show you how we can make your microstructure analyses more objective and faster. We are the first company to offer fully trained machine-learning models for this type of materials testing, which is why we see ourselves as a trendsetter and standard-setter in this field.
MiViA AI is a self-learning system based on artificial intelligence that can analyse, interpret and quantify microstructures. MiViA is very easy to use. The microscopy images you have captured can simply be uploaded to our web app. Then select the required analysis module and start the analysis.
At the end, you can download the results as a PDF, for example. We help the entire metal-processing industry gain a better understanding of its materials. What does that mean in practice? Microstructure analyses are still performed manually and are therefore usually subjective.
We standardise this process to enable fast, objective microstructure analyses. With MiViA, we provide professional metallographic microstructure analyses at the touch of a button, without tedious image processing. To learn more about AI-assisted microstructure analysis, please contact a member of our team.