Robust Internet Of Things Solutions For The Automotive Industry

We combine years of experience in multi-component IoT development and deep expertise in the automotive domain. Work with us to build custom, fully compliant solutions for any task, in any vehicle — from ensuring safe and efficient engine performance to tackling traffic congestion at scale.

IoT Solutions For Roadcars

  • Custom Android and Linux optimization
  • Multimedia hubs for the front console and headrest
  • BSP/BSW drivers
    Stolen vehicle tracking
  • Geofencing
  • Real-time vehicle health status
  • Predictive maintenance
  • Breakdown and accident management
  • Over-the-air updates
  • Location-based in-car advertising
  • Infotainment and media streaming
  • In-vehicle hotspots
  • Real-time weather and traffic reports
  • Remote car access and control

IoT Solutions For Specialized Vehicles

  • Remote vehicle diagnostics and care
  • Predictive maintenance for fleets and dealerships
  • CAN bus development
  • Intelligent route optimization
  • Highly scalable fleet management
  • V2V, V2I, and V2X connectivity
  • Driver assistance
  • Driver behavior control
  • Driver logbook
  • Advanced logistics
  • Connected navigation
  • Send-to-car trip planning
  • Dynamic traffic prediction

IoT Solutions For Smart Cities

  • Smart parking and payment
  • Smart public transport timetables
  • Green line for certain types of transport
  • Emissions reduction and energy expenditure control
  • Alerts about accidents
  • Car sharing service support
  • Ride sharing
  • Crowd/community services
  • Traffic management
  • Connected ADAS
  • Road sign detection
  • Road condition warnings
  • Dynamic map updates
  • Pay as you drive, pay how you drive, and other types of UBI

Tackling Your Automotive IoT Challenges


Enable any vehicle to connect quickly, reliably and securely with cloud services, roadside infrastructure, fleet operators, or each other using IoT technology.

  • OTA software updates
  • NFP communication
  • Smartphone-car pairing
  • Bluetooth connectivity
  • Wi-Fi capabilities powered by 3G/4G/5G
  • Car2Car connectivity


Facilitate driving and enrich in-vehicle experiences by helping users seamlessly interact with driver-facing systems — without compromising on road safety.

  • Human-centric hardware and software design
  • Intuitive navigation and route planning
  • Easy-to-operate infotainment platforms
  • Social media integration
  • Rigorous usability testing

Real-Time Data Collection And Analytics

Leverage the trove of behavioral and diagnostic data streamed by IoT devices for advanced analysis. Generate actionable insights for drivers, insurers, traffic authorities, and manufacturers.

  • Fleet telematics
  • Driving behavior evaluation and accident analysis
  • Up-to-date vehicle repairs history
  • Data visualization and report generation
  • Dynamic alerts and notifications
  • Real-time vehicle diagnostics


Transcend disparities between platforms and devices with integrated IoT ecosystems. Allow any vehicle to exchange data, and complete tasks effectively — regardless of manufacturer or service provider.

  • Third-party data source integration
  • API development and integration
  • App integration
  • Cloud service implementation

Why Develop Your Automotive IoT Solution With Zepforge

Faster Delivery And Early Value

Our proactive R&D and transparent agile process make it possible to rapidly move from concept to prototype to a full-blown solution — much quicker than a manufacturer would be able to do it in-house. Oxagile’s team is ready to go when you need flexibility to respond to market changes.

Industry Standards Compliance

We develop automotive IoT solutions to be compatible with all applicable safety and interoperability standards. Our clients are always able to expand the project team with rare skill specialists to complete special tasks, such as MISRA-AUTOSAR compliance.

Cloud Expertise

Our development team boasts over a decade of expertise in engineering robust cloud-based solutions. We use AI-powered cloud dashboards and custom machine learning algorithms to process huge amounts of sensor-generated data and automate processes while driving down costs.