KONUX accelerates AI Testing with the help of QuantPi
The Company

KONUX is one of 30 of the World Economic Forum’s most innovative start-ups and scale-ups. Its sustainable solution offers predictive maintenance, network usage, traffic monitoring and planning solutions for railway infrastructure management.


Their innovative team applies data science and machine learning to untapped and disconnected data, to make sure infrastructure managers can prevent failures, optimize their maintenance planning and – ultimately, help railways be more on time. Something we can all appreciate.


One of their solutions, KONUX Switch, is an end-to-end predictive maintenance system for rail switches. It uses IIoT devices to measure the vibration forces from passing trains. Combined with temperature measurements and other operational data , the data is fed into complex AI models – and these AI models must provide trustworthy predictive maintenance insights for infrastructure managers.

The Challenge


KONUX ensures a prediction accuracy of at least 90% or above to their customers. A feat not easy to accomplish given the complexity of AI models which must operate on imperfect labeling and a high amount of sensitive and noise- prone data.


Yet, KONUX’s Data Scientist team does just that – delivers predictive AI models to their customers with at least 90% accuracy! The challenge is, this task is immensely complex and takes a vast amount of resources and effort.


“There are always more things you could do, but for which you do not find sufficient time.”
Andrés Hernandez, Principal Data Scientist


Since the data science team has finite resources at their disposal, prioritizing what to test, evaluate, and retrain is of the utmost importance to business outcomes. Predictions cannot be false negatives, as this would pose great reputational and financial risks. Meaning there is a trade-off on speed that must be taken to ensure quality.

The Solution


Given the growing demand for KONUX’s solution, the KONUX team connected with QuantPi to see if there are ways to streamline and accelerate AI testing to ensure the quality of even more predictions in a scalable way.


Through PiCrystal, QuantPi’s automated assessment engine, KONUX’s AI models were automatically analyzed on four risk likelihood dimensions —

The Result


The assessments offered insights which the team truly appreciated. KONUX could see that with QuantPi, it would be possible to accelerate the validation process of their AI models.


“Having an overview of which cases we have in the respective risk dimensions helps with retraining.” - Andrés Hernandez, Principal Data Scientist


Within the last eight months alone, KONUX’s business has increased immensely. The amount of locations and sensors in use — and hence, the data processed by its AI models — has more than doubled. Scaling resources to meet the demands of their growing business are crucial. Through automated assessments like PiCrystal, the workload is possible.


“Some of our models have huge reputational and financial risks when our predictions are false negatives. The Explainability aspect (of QuantPi) in particular helps us to safely accelerate the confidence in our results.”  Andrés Hernandez, Principal Data Scientist


KONUX will continue to explore how to implement these learnings and future insights from QuantPi.

About QuantPi

QuantPi is pioneering the technologies of trust for the adoption of AI. Their end-to-end platform rigorously tests AI systems for unintended bias, robustness, compliance, and other critical metrics of performance. This offers AI lifecycle stakeholders a shared understanding of their AI systems—whether built in-house or third-party procured. At the heart of this platform is a powerful proprietary testing engine that uniformly assesses all types of AI (LLMs, computer vision, machine learning etc.). This delivers actionable insights and operationalizes internal AI policies and regulatory frameworks, such as the European AI Act.

Funded by the European Union and emerging from one of the world’s leading information security research centers (CISPA), QuantPi is shaping a future where intelligent machines are deployed confidently and responsibly. Trusted by some of the world’s largest enterprises and institutions, QuantPi remains at the forefront of advancing trustworthy AI globally.

For more information, email contact@quantpi.com