Automotive Software for the Connected Era
The automotive industry is transforming through software. InterCode builds the platforms that power fleet management, connected vehicles, diagnostic systems, and EV infrastructure, turning data into operational intelligence.
Software Driving the Future of Mobility
Modern vehicles generate terabytes of data, and the companies that harness this data will lead the next era of mobility. InterCode builds automotive software platforms that collect, process, and visualize vehicle telemetry in real time, enabling smarter fleet operations, better diagnostics, and connected experiences.
Our automotive solutions handle the unique challenges of this industry: intermittent connectivity, high-frequency sensor data, strict safety requirements, and integration with legacy automotive systems. We build for both consumer-facing experiences and operational back-office platforms.
From fleet management dashboards and predictive maintenance engines to EV charging networks and ADAS data pipelines, InterCode brings deep engineering expertise to every layer of the automotive software stack.
What We Deliver
Automotive software solutions from fleet management to connected vehicle platforms.
Fleet Management Platforms
Real-time fleet tracking, route optimization, driver behavior analytics, and maintenance scheduling.
- GPS tracking and geofencing
- Fuel consumption analytics
Connected Vehicle Applications
Mobile and web applications that let drivers and operators interact with connected vehicle data.
- Remote vehicle status monitoring
- OTA update management
Diagnostic & Telemetry Systems
Real-time diagnostics, fault code analysis, and predictive maintenance powered by vehicle sensor data.
- OBD-II data collection
- Predictive failure algorithms
EV Charging Management
Charging station management, payment processing, and network monitoring for EV infrastructure.
- OCPP protocol integration
- Dynamic pricing and load balancing
ADAS Data Processing
Pipelines for processing camera, lidar, and radar data from advanced driver assistance systems.
- High-volume sensor data ingestion
- Annotation and labeling tools
Automotive Development Process
Requirements & Data Mapping
We define the vehicle data sources, communication protocols, and platform requirements.
- CAN bus and sensor inventory
- Connectivity architecture
Platform Architecture
Scalable architecture designed for high-frequency data ingestion and real-time processing.
- IoT data pipeline design
- Edge vs. cloud processing strategy
Core Development
Data ingestion, processing engines, and operational dashboards are built in iterative sprints.
- Time-series data storage
- Real-time visualization
Vehicle Integration
Integration with vehicle telematics hardware, OBD-II devices, and automotive protocols.
- Hardware-in-the-loop testing
- Protocol adapter development
Testing & Validation
End-to-end testing with real vehicle data to validate accuracy and performance.
- Field testing with real vehicles
- Performance under poor connectivity
Deployment & Scaling
Production deployment with monitoring for fleet-wide rollout.
- Phased fleet onboarding
- 24/7 platform monitoring
Requirements & Data Mapping
We define the vehicle data sources, communication protocols, and platform requirements.
- CAN bus and sensor inventory
- Connectivity architecture
Platform Architecture
Scalable architecture designed for high-frequency data ingestion and real-time processing.
- IoT data pipeline design
- Edge vs. cloud processing strategy
Core Development
Data ingestion, processing engines, and operational dashboards are built in iterative sprints.
- Time-series data storage
- Real-time visualization
Vehicle Integration
Integration with vehicle telematics hardware, OBD-II devices, and automotive protocols.
- Hardware-in-the-loop testing
- Protocol adapter development
Testing & Validation
End-to-end testing with real vehicle data to validate accuracy and performance.
- Field testing with real vehicles
- Performance under poor connectivity
Deployment & Scaling
Production deployment with monitoring for fleet-wide rollout.
- Phased fleet onboarding
- 24/7 platform monitoring
Automotive Technology Stack
Technologies built for high-frequency data, real-time processing, and IoT connectivity.
Our automotive stack combines IoT-optimized messaging protocols with time-series databases and cloud IoT services, enabling efficient handling of millions of data points from connected vehicle fleets.
Client Results
Route optimization and driver behavior analytics reduced fleet fuel costs by identifying inefficient patterns.
Built a charging station management platform handling 500+ stations with real-time monitoring and dynamic pricing.
Predictive maintenance algorithms using telemetry data reduced unplanned vehicle downtime across the fleet.
Why InterCode for Automotive Software
Automotive Domain Knowledge
We understand CAN bus protocols, OBD-II, MQTT, and the unique challenges of building software for connected vehicles.
Real-Time Data Expertise
Our IoT and time-series data expertise handles millions of sensor readings with sub-second processing latency.
Offline-First Design
We build for intermittent connectivity, ensuring vehicles collect and sync data reliably regardless of network conditions.
Fleet-Scale Architecture
Our platforms scale from hundreds to tens of thousands of vehicles without performance degradation.
Frequently Asked Questions
We work with CAN bus, OBD-II, MQTT, and various proprietary telematics protocols. Our data pipeline can ingest data from virtually any vehicle telemetry device or connected vehicle platform, normalizing it into a consistent format for processing and visualization.
We design offline-first architectures where vehicles store data locally and sync when connectivity is available. Our data pipeline handles out-of-order delivery, deduplication, and backfill to ensure complete data even with unreliable network connections.
Yes. We build protocol adapters that integrate with most commercial telematics devices and GPS trackers. Whether you use Geotab, CalAmp, or custom hardware, we can ingest and process the data through our platform.
We support OCPP 1.6 and OCPP 2.0 for charging station communication, along with payment integrations for charging session billing. Our platforms handle dynamic pricing, load balancing, and real-time station monitoring.
Our predictive maintenance uses machine learning models trained on historical vehicle telemetry data. The models identify patterns that precede component failures, allowing fleet operators to schedule maintenance proactively. This reduces unplanned downtime and extends vehicle lifespan.
Ready to Build Automotive Software?
Tell us about your connected vehicle or fleet management project and we will design a platform that drives operational efficiency.
Contact Us