The startup operates a micro-radar platform that integrates sensor fusion algorithms and patented spatial audio human-machine interfaces (HMI) to enhance rider assistance systems for powered two-wheelers. This technology improves safety and efficiency in urban mobility by providing real-time data to users, operators, and insurance providers, facilitating the widespread adoption of two-wheelers.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Powered two-wheelers (PTW) like motorcycles, e-bikes, and e-scooters face increasing adoption rates, yet riders remain vulnerable due to limited safety features compared to cars. Existing advanced driver-assistance systems (ADAS) are often too bulky or expensive to integrate into PTWs, leaving riders exposed to blind spots and collision risks.
Solution
Anachoic provides advanced rider assistance systems (ARAS) for powered two-wheelers, utilizing a compact micro-radar platform and spatial audio human-machine interface (HMI). The HAALO platform delivers real-time, 360-degree protection by detecting potential threats and providing intuitive audible warnings for rear collision, blind spot monitoring, and front collision threats. The system enhances rider safety through data acquisition and analysis, which improves AI-based detection algorithms and enables adaptive vehicle control. Anachoic's technology promotes safer riding experiences and facilitates the adoption of PTWs as a sustainable mode of transportation.
Target Audience
The primary target audience includes powered two-wheeler riders, fleet operators, micromobility OEMs, and manufacturers of smart helmets and Bluetooth communicators. Additional stakeholders include municipal and regulatory bodies, as well as insurance and telematics companies.
Features
- Coin-sized micro-radar sensors with a detection range up to 80 meters and accuracy of up to 40 cm
- Patented spatial audio HMI for intuitive and low-latency threat warnings
- Edge DSP software for real-time tracking and optimized algorithms
- Rear-facing LED that flashes to warn drivers when they are threatening the rider
- Data acquisition capabilities to collect rider patterns, vehicle behavior, and road threats
- Third-party API for integration with various platforms and stakeholders