Seax AI provides an autonomous electric bus platform for fixed‑route service in low‑density rural areas. The system combines LiDAR, radar, camera sensor fusion and edge AI for driverless navigation, with cloud‑based fleet management, fast‑charging docks, and demand‑aware scheduling to lower operating costs and emissions for municipal transit agencies. Service contracts are offered on a per‑vehicle or per‑passenger basis.
Funding
Funding not disclosed
Founders
Product
Problem
Rural communities often lack affordable, frequent public transit, leading to social isolation, higher private‑vehicle costs, and increased emissions. Sparse populations and dispersed geography make conventional bus services economically unviable, especially for seniors and people with limited mobility.
Solution
Seax AI delivers a fully autonomous electric bus platform designed for fixed‑route service in low‑density areas. The system combines high‑definition LiDAR, radar, and camera sensor fusion with edge‑based AI perception to navigate safely without a driver. Route planning software optimizes schedules and energy consumption, while a cloud‑hosted fleet‑management dashboard provides real‑time telemetry, predictive maintenance alerts, and remote over‑the‑air updates. Buses recharge via modular fast‑charging stations positioned at route termini, minimizing downtime. By eliminating driver labor and leveraging electric propulsion, the solution reduces per‑trip operating costs and carbon output, enabling municipalities to offer reliable mobility to underserved residents.
Target Audience
The primary customers are municipal transport agencies and regional mobility operators responsible for public transit in sparsely populated rural districts.
Features
- Sensor suite (4× LiDAR, 360° radar, stereo cameras) with real‑time SLAM for precise localization on rural road networks
- Edge AI stack (TensorRT‑optimized neural nets) handling object detection, intent prediction, and trajectory planning without cloud latency
- Fixed‑route scheduler that integrates GIS data, demand forecasting, and battery state‑of‑charge to generate optimal timetables
- V2X communication module for dynamic traffic‑signal interaction and remote traffic‑incident updates
- Fast‑charging dock (≤15 min for 80 % battery) with automated plug‑and‑charge robotics at each terminus
- Cloud‑based fleet management portal offering live vehicle health dashboards, OTA software rollout, and usage analytics
- Compliance with UNECE R157 safety standards and built‑in redundant braking and emergency stop systems
- Passenger‑facing mobile app for stop notifications, seat reservation, and accessibility assistance