Hayden AI

Hayden AI is a pioneering mobile perception platform that transforms urban infrastructure by deploying advanced artificial intelligence on vehicles and fixed assets to collect and analyze real-time spatial data. Its core value proposition lies in moving beyond simple automated traffic enforcement to become a comprehensive data engine for smarter, safer, and more efficient cities. By fusing AI, computer vision, and sensor data, the platform provides municipalities and transit agencies with unprecedented insights into public space utilization, traffic patterns, and compliance issues, enabling data-driven governance and operational improvements.

Key features: The platform's capabilities include automated bus lane and parking enforcement, which uses AI-vision to identify violations in real-time. It performs detailed traffic monitoring and analytics, generating data on vehicle counts, speeds, and classifications. The system creates and maintains dynamic city digital twins by continuously collecting geospatial data. An enforcement data portal allows officials to manage evidence and citations, while the technology supports sensor fusion, integrating data from various hardware sources for a unified operational picture. Its real-time data collection extends to monitoring curb usage and assessing infrastructure conditions.

What sets Hayden AI apart is its deep integration of specialized AI hardware with robust software, creating a seamless mobile sensor platform rather than just a software solution. Its proprietary perception systems are designed for the harsh environments of moving vehicles, ensuring reliable data capture. The platform's ability to perform edge processing reduces latency and bandwidth needs, while its focus on data fusion from multiple sensor types provides richer, more actionable insights than single-source competitors. It integrates with existing city management systems and offers APIs for custom development, positioning it as a foundational layer for urban intelligence.

Ideal for municipal governments, public transit authorities, and urban planning departments seeking to modernize enforcement, optimize traffic flow, and improve road safety. Specific use cases include transit agencies needing to protect dedicated bus lanes for on-time performance, cities aiming to reduce illegal parking and improve curb management, and metropolitan areas investing in digital twin technology for long-term urban planning and sustainable development initiatives. It is also valuable for private fleets requiring advanced compliance monitoring.

While operating on a freemium model, detailed enterprise pricing is customized based on the scale of deployment, number of sensors, and required modules such as specific enforcement applications or analytics suites. Interested organizations typically engage in a pilot program to define scope and costs.