Occurrence says that while machines are connected, frontline work often is not. That gap can hide efficiency loss, increase safety risk, and slow human-robot collaboration, especially in industrial settings.

• Frontline work is often not digitally connected even when machines are
• Limited real-time visibility can hide efficiency loss and safety risk
• Human-robot collaboration is harder when live human activity is not captured and shared
• Industrial teams need privacy-preserving monitoring without relying on stored video

SF Playground featured Occurrence Technologies in Pitch Playoffs 002 as a startup building Physical AI infrastructure for safer and smarter operations.

• Featured the company in Pitch Playoffs 002
• Highlighted a Physical AI startup working on manufacturing and operations visibility
• Included a team bringing a portable demonstrator for live showcase

Occurrence’s public materials emphasize safety, efficiency, and privacy-preserving operational insight. The company says its platform supports use cases like industrial ergonomics, workflow analytics, and human-robot collaboration while avoiding storage of video data.

Occurrence AB left with real connections and momentum—not just a pitch slot.

• Uses existing camera streams as system input
• Provides real-time monitoring and analytics
• Supports geofencing and automated alerts
• Processes anonymised positional data instead of storing video
• Designed for deployment on-prem or in cloud environments
• Supports integration via MQTT and REST API
• Targets industries including manufacturing, logistics, smart cities, retail, and healthcare
• Lists Sting, NVIDIA, AWS, EIT, DeepTech Alliance, SII, and TUM under partners and programmes
• Stockholm, Sweden and Munich, Germany locations are listed on the site