XENOM CEO explains edge AI helmets for industrial safety
Andrei Kulik, co-founder and CEO of XENOM, discusses how his company’s AI platform integrates smart helmets with positioning, environmental sensing, and voice analysis to provide real-time industrial site visibility. Kulik, who previously co-founded AIMatter (acquired by Google) and worked on on-device AI at Google, frames XENOM’s mission as addressing the gap in real-time monitoring—most…
Key points
- XENOM’s smart helmets combine positioning, sensors, and AI to provide real-time industrial site visibility, processing data locally for speed and reliability
- Voice AI model detects alcohol impairment with **86.7%** accuracy, flagging concerns to supervisors for human verification
- Kulik stresses purpose-limited data use, avoiding productivity tracking while ensuring compliance with emerging regulations like the EU AI Act
Key challenges included merging disparate technologies (positioning, sensors, communications) into a rugged device that operates reliably in extreme conditions. XENOM’s voice AI model detects alcohol impairment with 86.7% accuracy (based on academic benchmarks) by analyzing speech patterns without requiring dedicated tests. The system flags concerns to supervisors for human verification, prioritizing accountability over autonomous decisions. Kulik emphasizes purpose-limited data governance, ensuring privacy and avoiding misuse for productivity tracking. Early deployments reveal unexpected value in productivity insights, not just safety, and highlight the need for industry-specific customization.
Andrei Kulik, Co-Founder of XENOM
Unite.AI · 4 November 2026
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