In A Blink provides a Wi‑Fi replacement for buses and passenger trains that transfers vehicle data to a central control center up to 200 × faster, reducing upload times from hours to minutes.
Funding
Funding not disclosed
Founders
Product
Problem
Public transit vehicles generate large volumes of telemetry, perception, passenger, and safety data during operation, but traditional Wi‑Fi networks transfer this information slowly, often requiring hours and relying on onboard storage that can be vulnerable to loss or tampering.
Solution
In A Blink replaces conventional Wi‑Fi on buses and passenger trains with a high‑throughput, duplex communication link that moves all vehicle data to a central control center in minutes. The system accelerates data transfer by up to 200 ×, eliminating the need for local storage and thereby improving data security. Encrypted, real‑time streams make telemetry, perception, passenger, and safety information instantly available for operational analysis, fleet optimization, and preventive maintenance. Centralized access enables transit operators to run analytics and make decisions without waiting for batch uploads, while the underlying protocol remains compatible with existing vehicle hardware.
Target Audience
Primary customers are public‑transport operators and fleet managers responsible for buses and passenger trains who need rapid, secure access to vehicle data for operational oversight and maintenance planning.
Features
- Ultra‑fast, duplex data link delivering up to 200 × faster transfer rates compared with standard Wi‑Fi
- End‑to‑end encryption that secures all transmitted vehicle data and removes reliance on onboard storage
- Real‑time streaming of telemetry, perception, passenger, and safety datasets to a central control hub
- Scalable architecture that supports simultaneous connections from large bus and train fleets
- Compatibility with existing vehicle communication modules, requiring only a network interface upgrade
- Centralized data ingestion that feeds directly into analytics platforms for fleet monitoring and predictive maintenance