Case Study
AI Risk Mitigation in Power Infrastructure
How LatticeFlow AI helped Axpo improve AI performance and reliability to scale AI innovation
Download the Case StudyCompany Trusted By
Introduction
In this case study, LatticeFlow AI partnered with Axpo, Switzerland's largest renewable energy provider, to assess and mitigate AI risk by detecting hidden model blind spots, improving performance with minimal relabeling, and establishing a repeatable validation workflow.
As a result, both teams developed a unique blueprint for accelerating AI innovation, without compromising on safety and reliability.
KEY RESULTS
+16%
INCREASED PRECISION
+9%
INCREASED RECALLS
<50
TARGETED LABELED EXAMPLES
In a domain like energy infrastructure, a reliable AI is fundamental. LatticeFlow AI provides us the visibility and control to ensure our computer vision models are both high-performing and secure in daily business. With this certainty, we can detect and fix issues fast and scale AI safely across operations. LatticeFlow AI is a key enabler for accelerating AI innovation without compromising on trust in our AI models.
Kevin Geiger
Project Engineer Asset Analysis, Axpo