Information Request
Solution Architect
Electronics Operating System
With the help of intelligent software and deep learning, we simplify and accelerate your
electronics development and production processes.
Our customers
Our Goal
What We Believe In
Eliminate Interface Friction
- In electronics engineering, a lot of work still resides in silos.
- Tools use proprietary file formats and important pieces of information are scattered around the web on the pages of parts manufacturers and distributors.
- We want to break up these silos to unlock the full potential of the data.
Enable Design for Excellence
- Suboptimal decisions in the design process can have a significant impact that only unveils later in the process, causing costly re-iterations.
- We want to enable the designer to make the best decisions regarding cost, availability, manufacturability, testability, and conformity.
Automate Repetitive Work
- From extracting information from data sheets, resolving messy BOMs to find each part's price and availability to doing routing and placement of a PCB: electronics engineering is teeming with opportunities for automation and new algorithms in artificial intelligence are here to free us from the most repetitive tasks
On-Demand Webinar Series - From AI to Electronics
Register below to gain access to the webinars and we will send you the link via email!
"Introduction to Artificial Intelligence" was the first session of Luminovo's free Webinar Series held in German!
This session was designed to help you understand the foundational elements of Artificial Intelligence (AI). From its very definition to the vast potential that AI holds - a multitude of questions will be answered through this webinar with practical examples.
- Introduction to Artificial Intelligence, Machine Learning and Deep Learning
- Understanding emerging trends in AI
- Identifying potentials and constraints of AI
- Examining practical examples in the Electronics Industry
Speaker: Sebastian Schaal (Founder)
"Machine Learning (ML) in the EMS sector" is designed to help you learn more about the possibilities of AI in the EMS industry. From the current R&D Approaches, use cases and challenges for ML in the EMS industry to using AI in practice today to avoid production errors before they occur.
If you are an EMS'ler, hardware developer, PCB designer, or anybody who is interested in new technical improvements, changes and disruptions in the electronics industry, then this session would definitely be of interest to you.
- Basic knowledge of AI & ML
- Opportunities, use cases and challenges for AI & ML in the EMS industry
- Technical insights into forecasting, predictive maintenance and quality control
- Strategic outlook for ML in the EMS industry
- Interactive Q&A
Speaker: Sebastian Schaal (Founder)
Case Study of Infineon
Infineon designs and produces chips. Chip verification requires lengthy testing to reach functional coverage. We built
an unsupervised novelty detection algorithm that reduced redundancy in simulations. Thereby, we saved Infineon Technologies 2,400,000 hours of computational time, saved a double-digit million amount per chip design, and decreased time-to-market by 3 months.
Follow us on:
