The startup provides a cloud‑native platform that fuses multi‑constellation GNSS data with sensor streams, satellite imagery, and crowd‑sourced telemetry to deliver centimeter‑level positioning and continuously refreshed high‑definition 3D maps. Clients access the service via REST/gRPC APIs and edge SDKs for low‑latency integration into logistics, autonomous vehicle, precision‑agriculture, and smart‑city systems, with blockchain‑anchored data integrity and GDPR/CCPA compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Many industries require centimeter‑level positioning and continuously updated geospatial context, but existing mapping services deliver static, low‑accuracy data that cannot keep pace with real‑time operational demands such as autonomous navigation, precision farming, and dynamic route optimization. This gap forces companies to stitch together disparate data sources, increasing latency and error risk.
Solution
The company offers a cloud‑native digital mapping platform that fuses real‑time GNSS observations from multiple constellations (GPS, GLONASS, Galileo, BeiDou) with sensor streams, satellite imagery, and crowd‑sourced telemetry. Advanced AI and big‑data pipelines cleanse, align, and enrich these inputs to produce centimeter‑accurate positioning and continuously refreshed high‑definition (HD) maps. Clients access the service through RESTful and gRPC APIs, enabling seamless integration with logistics management systems, autonomous vehicle stacks, and precision‑agriculture equipment. Edge‑compute SDKs allow on‑device inference for low‑latency use cases, while built‑in encryption and blockchain‑based hash anchoring guarantee data integrity and compliance with privacy regulations. The platform’s analytics dashboard delivers actionable insights—such as predictive traffic patterns and terrain risk assessments—supporting proactive decision‑making across logistics, agriculture, and urban planning workflows.
Target Audience
Primary customers include logistics providers, precision‑agriculture enterprises, autonomous vehicle manufacturers, and municipal planners building smart‑city infrastructure that rely on high‑accuracy, dynamically updated geospatial data.
Features
- Multi‑constellation GNSS fusion engine delivering sub‑10 cm positioning in real time
- AI‑driven map update pipeline that automatically detects road changes, vegetation growth, and construction activity from satellite and IoT feeds
- Generation of 3D HD maps with vector road geometry, elevation models, and semantic layer annotations (e.g., lane markings, traffic signs)
- Scalable cloud architecture with 5G‑optimized data streams for ultra‑low latency delivery to autonomous systems
- Secure data provenance using blockchain‑anchored hashes and end‑to‑end encryption, meeting GDPR and CCPA standards
- Developer SDKs (C++, Python, Java) and gRPC/REST APIs for easy integration into fleet management, farm machinery, and smart‑city platforms
- Real‑time analytics dashboard offering predictive traffic congestion, weather‑adjusted routing, and asset‑level performance metrics