Co-Founder
Profile summary: Ericsson Design Technologist
Occurrence AB
Occurrence AB is a Physical AI company that transforms existing camera streams into real-time, privacy-preserving operational insights for industrial environments. Its platform provides wearable-free positioning, full-body 3D pose tracking, workflow analytics, and human-robot collaboration controls, all without storing video data to ensure GDPR compliance. The system is containerized and deployable on-prem or in the cloud, integrating with existing camera infrastructure via MQTT and REST APIs.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Industrial Automation
- Internet of Things
- Logistics & Supply Chain
- Manufacturing / Industry 4.0
- Software Only
Updated 1 month ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Industrial frontline work remains largely unconnected and invisible to digital systems, even as machines and equipment are fully networked. This gap hides efficiency losses, creates safety risks, and slows the adoption of human-robot collaboration, leaving operators and managers without real-time visibility into human activity and workflow.
Solution
Occurrence AB provides a Physical AI platform that converts existing camera streams into real-time, privacy-preserving insights for industrial operations. The system performs wearable-free positioning and full-body 3D pose estimation in absolute coordinates, enabling live monitoring of operator movement, posture, and station activity. It delivers workflow analytics that distinguish value-adding from non-value-adding work, identifies congestion and bottlenecks, and supports human-robot collaboration by sharing live human location data with automated systems. All processing is done via scalable edge computing, with only anonymized positional data retained, ensuring full GDPR compliance while enabling event-based review without stored video.
Target Audience
Primary customers are manufacturing, logistics, and industrial operations teams seeking to improve safety, throughput, and human-robot collaboration, as well as smart city, retail, and healthcare organizations needing real-time operational visibility.
Features
- Real-time positioning and full-body 3D pose estimation in absolute coordinates without wearables
- Workflow analytics for movement, dwell time, and station analysis to identify congestion and adherence issues
- Human-robot collaboration module that shares live human location and activity with AGVs, robotic arms, and cobots to prevent accidents
- Geofencing with automated alerts for safety and operational control
- Open data model with MQTT and REST API integration for custom analytics and third-party IoT systems
- Containerized edge computing stack deployable on-prem or in the cloud, scalable from hours to minutes
- Privacy-by-design architecture with end-to-end encrypted video streams and no video storage, only anonymized meta-data