Kolmostar develops ultra-low power GNSS positioning solutions that utilize advanced statistical signal processing and high-dimensional space search theory to achieve highly accurate outdoor positioning in urban environments. Their technology addresses high energy consumption and positioning drift issues common in traditional GNSS systems, reducing energy use by 100 times while maintaining precise location data for IoT devices.
Funding
$15.6M 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.
CCFounders
Product
Problem
Traditional GNSS positioning solutions consume significant energy, limiting battery life in mobile and IoT devices. Weak satellite signals and urban obstructions often cause positioning drift, resulting in inaccurate location data, especially in dense city environments. Furthermore, conventional GNSS chips can have slow start-up times, delaying the availability of accurate positioning data when the device is powered on.
Solution
Kolmostar provides ultra-low power, high-precision GNSS positioning solutions designed to overcome the limitations of traditional systems. By utilizing advanced statistical signal processing and high-dimensional space search theory, their technology significantly reduces energy consumption—reportedly by a factor of 100—while maintaining accurate outdoor positioning, even in challenging urban environments. The solution addresses positioning drift caused by weak signals and metropolitan obstructions, ensuring reliable location data. Kolmostar's technology is optimized for integration into smartphones, wearable devices, and various IoT applications, enhancing location-based services. The positioning calculation is performed within the GNSS sensor.
Target Audience
The primary target audience includes manufacturers of smartphones, wearable devices, and IoT solutions requiring precise and energy-efficient GNSS positioning.
Features
- Ultra-low power GNSS sensor, reportedly consuming 1/100th the energy of traditional solutions
- Advanced statistical signal processing for accurate positioning in urban canyons
- High-dimensional space search theory to mitigate positioning drift from weak signals
- Rapid start-up speed for quick availability of accurate positioning data
- Complete positioning calculation performed within the GNSS sensor
- Optimized for integration into smartphones, wearables, and IoT devices