Reduce weeks of safety assessment to a few hours. paitron can automate at least ~60% of the FMEA tasks for you.
Trusted algorithms & methods allow white-box reasoning. Highest quality ensured with a concept report received from TÜV SÜD.
Identify design flaws early & save up to 80% of costs. paitron supports Design-, System- & Piece-part-FMEA.
No mortal can do 23k checks in 40 minutes
Functional Safety Expert,
paitron saves me three days of copying data from one tool to another for each assessment
Head of Functional Safety Management,
With paitron, I can improve the quality of my safety assessments and products.
Functional Safety Engineer,
Reap the benefits
Learn more about how paitron can support you
Want to accelerate the time to market?
Want to automate routine tasks?
Want to increase product quality?
Want to increase efficiency of engineers?
Do you want to
increase efficiency of engineers?
increase product quality?
accelerate time to market?
automate routine tasks?
reduce media breaks?
Less media breaks
Early stage savings
Routine tasks automated
Faster than manual
paitron in one glance
The HIMax is an industrial safety-critical system of the HIMA Paul Hildebrandt GmbH that contains multiple digital output modules, whose signals are intended for use in a programmable electronic system. In this article, a partial safety analysis of the HIMax is assessed with paitron.
This post aims to show how the tool concept of paitron was evaluated from TÜV SÜD and regarding its certification ability as a qualified software for the use in safety-critical applications.
In this article, we compare a manually generated expert failure modes and effects analysis (FMEA) taken from SAE ARP4761 with an automatically generated one, produced with paitron and find where the ARP 4761 went wrong.
We are the first company to develop a mathematically complete solution for accelerated and improved safety assessment – paitron. In this one-pager, we explain modelwise a bit more including what we have achieved, how we provide value to the customer as well as our portfolio.
In this article, a failure mode and diagnostic analysis (FMEDA) of the power supply module of an Arduino™ UNO Rev3 is presented in order to assess the robustness of its design and estimate its lifetime when being uninterruptedly powered.