AI is increasingly being deployed in systems that operate outside controlled environments. Robotics, surgical platforms, and automated equipment must perform reliably in dynamic, real-world conditions.
This shift introduces new challenges. AI models must not only perform accurately but also behave predictably, safely, and consistent over time. Validation becomes a system-level requirement, not just a software task.
We have joined the NVIDIA Halos AI Systems Inspection Lab to address these challenges.
The lab focuses on evaluating AI-driven systems in practical environments. It provides a framework for testing performance, identifying risks, and improving system reliability before deployment.
Our role builds on its experience supporting applications where precision and reliability are essential. Its technologies are used in:
- Surgical systems that require consistent, repeatable performance
- Robotics platforms operating alongside people and in complex environments
- Advanced industrial systems where uptime and accuracy are critical
Participation in the lab enables us to:
- Access advanced tools for AI system inspection and validation
- Collaborate on approaches to testing AI in physical systems
- Apply insights directly to customer applications
As AI adoption accelerates, expectations for safety, transparency, and compliance are increasing. Companies developing AI-enabled products must demonstrate that systems perform reliably under real-world conditions.
This collaboration supports that requirement by advancing how AI systems are tested, validated, and deployed.
Read the press release: Novanta Inc. – Novanta Joins NVIDIA Halos AI Systems Inspection Lab
