Engidi
Engidi is a technology company based in Barcelona, Spain, specializing in Internet of Things (IoT) solutions focused on digitalizing occupational risks and improving industrial safety. Their mission is to control and minimize risks for workers in industrial settings through innovative digital tools and real-time data collection. Engidi actively collaborates within the European Union to advance IoT technology for safety and productivity, contributing to the digital transformation of workplaces.
Industries
Nr. of Employees
small (1-50)
Products
PPE-integrated wearable sensing unit
Compact, autonomous sensor unit designed for embedding in helmets, vests or belts to capture location, environmental and motion/physiological data for real-time worker monitoring and emergency response; engineered for industrial ruggedness and certified for hazardous areas.
PPE-integrated wearable sensing unit
Compact, autonomous sensor unit designed for embedding in helmets, vests or belts to capture location, environmental and motion/physiological data for real-time worker monitoring and emergency response; engineered for industrial ruggedness and certified for hazardous areas.
Services
Cloud safety monitoring and analytics service
Cloud-hosted platform for ingesting wearable sensor data, providing real-time dashboards, KPI tracking, behavioral analytics and alerting to support occupational safety programs and emergency response.
System deployment, PPE integration and on-site configuration
On-site integration of sensor units with existing personal protective equipment, configuration for industrial use cases and certifications, and plug-and-play deployment support for multi-site rollouts.
Analytics-driven training and best-practice programs for wearables
Analytics services to identify high-risk behaviours and training programs for adoption and safety culture improvement, including guidance on privacy-preserving deployment and worker communication.
Regulatory compliance and legal training consultancy
Advisory services covering workplace geolocation legality, data protection compliance and worker training to ensure transparent and lawful monitoring deployments across jurisdictions.
Digitalization project support and public funding collaboration
Assistance in structuring digital transformation projects and collaboration models that can access public funding programs for adoption of IoT and safety technologies.
Cloud safety monitoring and analytics service
Cloud-hosted platform for ingesting wearable sensor data, providing real-time dashboards, KPI tracking, behavioral analytics and alerting to support occupational safety programs and emergency response.
System deployment, PPE integration and on-site configuration
On-site integration of sensor units with existing personal protective equipment, configuration for industrial use cases and certifications, and plug-and-play deployment support for multi-site rollouts.
Analytics-driven training and best-practice programs for wearables
Analytics services to identify high-risk behaviours and training programs for adoption and safety culture improvement, including guidance on privacy-preserving deployment and worker communication.
Regulatory compliance and legal training consultancy
Advisory services covering workplace geolocation legality, data protection compliance and worker training to ensure transparent and lawful monitoring deployments across jurisdictions.
Digitalization project support and public funding collaboration
Assistance in structuring digital transformation projects and collaboration models that can access public funding programs for adoption of IoT and safety technologies.
Expertise Areas
- Industrial Internet of Things (IIoT) for worker safety
- Wearable sensor integration with personal protective equipment
- Real-time safety analytics and cloud-based dashboards (SaaS)
- Geolocation-enabled emergency response and rescue support
Key Technologies
- Wearable sensors (environmental, motion, physiological proxies)
- Real-time positioning / geolocation
- Impact and fall-detection algorithms
- Thermal-stress detection algorithms