Automotive Data Services

Intelligent parking monitoring solution for real-time occupancy insights

To enable real-time access to parking lot occupancy data via web and mobile applications, Intellias upgraded the client’s existing parking infrastructure with a smart monitoring system. The solution integrated LoRaWAN wireless parking sensors, LoRaWAN-LTE gateways, existing gates, wired sensors, parking guidance screens, and camera-based license plate recognition into a centralized Azure-based platform for data processing, visualization, and infrastructure control.

Business outcomes:

• Lower hardware investment – upgraded the parking monitoring system by reusing existing infrastructure instead of replacing gates, wired sensors, and guidance screens
• Real-time occupancy visibility – enabled live parking data collection from multiple sensors and systems for web and mobile applications
• Future-ready integration architecture – simplified future hardware upgrades through flexible microservices, MQTT-based communication, and reverse-engineered RS485 protocol integration

Generative AI and knowledge graph services for efficient map production

To address slow and error-prone manual validation across a complex map production ecosystem, Intellias implemented a GenAI-powered solution that automates data validation and streamlines workflows through the intelligent AI assistant.

Business outcomes:

• Faster validation cycles – replaced manual search and cross-checking across 4,000+ map entities with a unified AI assistant
• Improved consistency and quality – automated validation using MLflow pipelines and golden datasets, reducing variability and human error
• Scalable platform foundation – evolved from MVP to an architecture designed to support 1,000+ daily active users

AI-based closed loop code generation for map compiler

Map compilation requires significant engineering effort when introducing new data formats. The client aimed to explore AI-driven code generation, from assisted development to automated closed-loop workflows.

Intellias developed an AI-based architecture to generate and refine compiler code with full contextual awareness. The approach was validated by generating a real map compiler module (POI, Roads) with NDS map data format.

Business outcomes:

• Fast PoC delivery – working solution delivered in 3 weeks with real map output
• Reduced effort and time – up to 40% reduction in development for new data formats
• Scalable approach – proven and reusable architecture for future map compilation components

Map Scout: Agentic AI solution for dynamic maps update

Traditional map updates rely on slow, scheduled data sources, creating a gap between real-world conditions and what drivers see, especially dynamic events like accidents, road closures, or hazards.

Intellias developed Map Scout, an AI-powered solution that continuously captures and validates real-time events from open sources, enabling faster and more accurate map updates.

Business outcomes:

• Stronger competitive edge – real-time intelligence outperforms traditional batch-based mapping updates
• Improved map accuracy and reliability – automated event extraction, geolocation, and confidence scoring ensure higher data quality
• Regulatory readiness – supports low-latency detection of safety-critical events, aligning with emerging standards such as Euro NCAP 2026 Local Hazards