Nastaran Saberi
Founder
GeoMate
GeoMate provides AI-driven mapping solutions that deliver high-definition maps with up to 10 cm accuracy for urban mobility applications, enabling rapid mapping of mid-sized cities in about four weeks without fieldwork. This technology significantly reduces mapping costs by up to 70%, addressing the need for efficient and scalable geospatial data in urban planning and autonomous driving.
- Artificial Intelligence
- Data & Analytics
- Autonomous Vehicles
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Amin Gharebaghi
Founder
Product
Problem
Traditional methods of creating and updating high-definition maps for urban environments are expensive, time-consuming, and often require extensive fieldwork. This makes it difficult for cities to maintain accurate geospatial data for urban planning, autonomous driving, and simulation purposes.
Solution
GeoMate provides AI-powered mapping solutions that deliver high-definition maps with up to 10 cm accuracy, enabling rapid mapping of mid-sized cities in approximately four weeks without the need for fieldwork. By leveraging high-resolution aerial imagery and AI algorithms, GeoMate significantly reduces mapping costs and accelerates project timelines. The company's technology supports various applications, including urban planning, autonomous driving, and the creation of real-world simulation environments. GeoMate's AI-driven approach ensures that maps are regularly updated and can detect even minor changes in the urban landscape, providing clients with accurate and actionable geospatial data.
Target Audience
GeoMate serves urban planning professionals, leaders in autonomous driving and ADAS, simulation solution providers, and simulation platform developers.
Features
- AI-powered mapping using high-resolution aerial imagery for detailed urban data capture
- High-definition maps with up to 10 cm accuracy
- Rapid mapping of mid-sized cities in approximately four weeks
- Change detection models for weekly map updates, focusing on areas with significant changes
- Support for various data formats, including GeoJSON, Shapefile, OSM, OpenDrive, and LaneLet2
- RealSimE (Real-World Simulated Environments) for AD/ADAS simulation testing
- Datasets include information on road edges, lane markers, crosswalks, park lines, sidewalk networks, signage, and street polls
- Available on ESRI's global GIS marketplace