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Intelligent workforces in pharmaceutical, life sciences & healthcare asset management

Navenio transforms asset use optimization, validation, and calibration for on-time compliance increasing workforce productivity while lowering costs


Right asset, Right time, Right place, Right person

World-class science behind our infrastructure-free technology

Navenio’s Intelligent Workforce Solution is created from World-class University of Oxford Science. Using only a smartphone’s sensors, the fusion of core technologies creates a highly scalable indoor location, providing actionable insight immediately – which in turn feeds Navenio’s advanced scheduling AI for optimum performance.


Crowdsourced Auto Mapping

Self-Learnt Ambient Signal Map

Crowdsourced Auto Mapping

Award Winning Motion Tracking

Advanced Scheduling Algorithms

Robust Sensor Fusion Algorithms

  • Robust odometry across  mobile equipment & staff  

  • Uses IMU data from a smartphone’s sensors for navigation

  • PDR algorithms adjust for the different ways a smartphone is held and overcome sensor noise to derive accurate user movement

  • Deep learning-based pose estimation can use inertial data only (acceleration and gyroscope) for continuous asset tracking – e.g. for equipment and staff motion estimation

  • In environments where both inertial and camera data are available, deep learning visual inertial odometry approaches offer low drift odometry for vehicles and robots, as well as for people using VR/AR applications

AI-Powered Asset Tracking


Award-Winning Map Matching


Indoor-Outdoor Detection


Multi-Floor Localization


3D Localization Without Maps

  • Experience maps are built via crowdsourcing users’ movements using inertial, pressure, Wi-Fi, BLE and GPS data

  • Using a Wi-Fi or BLE scan, Navenio’s technology can detect the 3D location of a user on an experience map

  • Patented map matching algorithms constrain a user’s odometry to the features of the map

  • Works with noisy trajectories and floorplans where changes may have occurred

  • Uses a fusion of inertial, GPS and Wi-Fi data to accurately detect the time/ place of entry and exit into a building

  • Algorithms work when we do or do not have knowledge of the location of entry/exit points

  • Algorithms can localise people across multiple floors without prior knowledge of floor change transitions

  • Using pressure, inertial and signal-map data, Navenio’s technology identifies floor change transitions and what floor equipment or user is moving to

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