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Intenseye

  • New York, New York
  • Founded 2018
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Intenseye is a real-time AI workplace safety platform that uses computer vision on existing CCTV cameras or its proprietary Sentinel devices to detect 50+ types of high-risk hazards as they happen, enabling teams to prevent serious injuries and fatalities before they occur.

Perfect for

Intenseye is best suited for large industrial organizations with complex, multi-site operations that need to move beyond manual audits and lagging indicators to prevent serious injuries and fatalities in real time.

  • Industrial manufacturers, automotive plants, food and beverage facilities, mining operations, and logistics/warehousing operations with significant worker safety risks
  • Organizations operating across multiple facilities globally that need cross-site safety benchmarking and standardized hazard detection
  • Companies with existing CCTV camera infrastructure looking to extract safety intelligence from cameras already installed
  • EHS leaders tasked with reducing Total Recordable Incident Rate (TRIR), Lost Day Rate (LDR), and potential Serious Injuries and Fatalities (pSIF) exposure
  • Enterprises running EHS systems of record like Intelex, Enablon, Cority, or ServiceNow that want real-time detection data flowing into existing workflows

Key strengths

  • Detects 50+ hazard types 24/7 using existing CCTV cameras across 200+ brands, eliminating the need for rip-and-replace camera upgrades

  • Privacy-first architecture with mandatory facial blurring, on-site edge processing, and no facial recognition, addressing worker privacy concerns from day one

  • Proven customer results: Swire Coca-Cola achieved 60% hazard reduction and 27% decrease in Lost Day Rate; Henkel reduced Total Incident Rate from 3.3 to 0; AKA Automotive cut MSD cases by 71.82%

  • Sub-second physical intervention capability (~0.8s PLC hard stop) moves beyond alerting to actual machine-level prevention

  • Deep integration ecosystem spanning EHS systems, industrial protocols (MODBUS, OPC UA, MQTT), collaboration tools, and BI platforms, fitting into existing enterprise workflows without duplicate data entry

Considerations

  • Primarily designed for large industrial and manufacturing environments; not suited for office, retail, or small-facility settings

  • Requires existing IP camera infrastructure or investment in proprietary Sentinel hardware for optimal coverage

  • No publicly listed pricing; enterprise-oriented sales model likely involves significant investment and longer procurement cycles

  • Focused exclusively on workplace safety, operations, and quality; does not address supply chain, logistics routing, or warehouse management use cases

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About Intenseye

Intenseye transforms workplace safety from reactive incident investigation to real-time risk prevention. The platform runs computer vision AI on the cameras facilities already have (supporting 200+ camera brands) or on its purpose-built Sentinel hardware suite, detecting over 50 types of high-risk hazards across six families: PPE compliance, area controls, behavioral safety, vehicle-pedestrian interactions, ergonomics, and housekeeping. Processing over 25 billion frames daily across 400+ facilities in 45+ countries, Intenseye serves major industrial organizations including Mercedes-Benz, Nestle, Caterpillar, Heineken, Mars, Henkel, and Swire Coca-Cola.

The platform operates through a closed-loop workflow: detect hazards via AI-powered cameras, act in the moment through speakers, lights, alerts, or PLC hard stops (in approximately 0.8 seconds), coach crews with auto-generated coaching sessions, and track measurable risk reduction over time. Privacy is built in by design with facial blurring applied by default, dynamic masking, and timestamp anonymization, with no facial recognition ever used. All video processing happens on-site via edge compute (NVIDIA Jetson-powered Sentinel Hub devices), eliminating the need for cloud-based video round-trips.

Intenseye extends beyond safety into operations and quality use cases, offering pathway analysis, asset utilization tracking, cycle-time measurement, hygiene verification, and QA-station checks. The platform integrates deeply with existing enterprise systems through Intenseye Connect, routing alerts and data into EHS systems of record (Intelex, Enablon, Cority, Sphera, VelocityEHS, ServiceNow), collaboration tools (Microsoft Teams, Slack, Google Chat), BI platforms (Power BI, Tableau), and industrial protocols (MODBUS TCP, OPC UA, MQTT, Ethernet/IP). Founded in 2018 and headquartered in New York with R&D hubs in Berlin and Istanbul, Intenseye has raised $93M in venture funding from investors including Insight Partners, Lightspeed Ventures, and Air Street Capital.

Integrations

  • Microsoft Teams
  • Slack
  • Google Chat
  • Intelex
  • Enablon
  • Cority
  • Sphera
  • Benchmark Gensuite
  • VelocityEHS
  • ServiceNow
  • SafetyCulture
  • Microsoft Power BI
  • Tableau
  • Okta
  • Microsoft Entra ID
  • Google Workspace
  • ADFS
  • SAML 2.0
  • Splunk
  • Azure IoT
  • Genetec
  • Power Automate
  • OPC UA
  • MODBUS TCP

Intenseye

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