The startup develops spatial simultaneous localization and mapping software that integrates computer vision, sensor fusion, and machine learning to enable robots and consumer products to achieve real-time spatial awareness. This technology reduces power consumption and deployment time while lowering costs for advanced robotic solutions in various applications.
Funding
$32.2M 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.
RGFounders
Product
Problem
Within intralogistics environments, manually driven vehicles like forklifts often lack real-time spatial awareness, leading to inefficiencies, safety concerns, and an inability to optimize operational workflows. Existing real-time location systems (RTLS) can be expensive to deploy and maintain, and may not provide the granular data needed for advanced analytics and process improvement.
Solution
Slamcore provides a vision-based spatial intelligence solution designed to enhance the awareness and efficiency of manually driven vehicles in intralogistics settings. Their core product, Slamcore Aware, is a real-time location system (RTLS) that utilizes visual-inertial SLAM, sensor fusion, and AI-driven object detection to provide precise 3D positioning and situational awareness. The system retrofits onto existing vehicles via a plug-and-play hardware module, eliminating the need for extensive infrastructure. By continuously mapping and monitoring the environment, Slamcore Aware enables real-time tracking, analysis of vehicle and material flow, and alerts for potential hazards, improving both safety and operational efficiency.
Target Audience
The primary target audience includes operators of warehouses, manufacturing facilities, and other intralogistics environments seeking to improve the safety and efficiency of their manually driven vehicle fleets.
Features
- Real-time localization with live system status updates accessible through a local web interface
- 6DoF visual-inertial SLAM for precise 3D positioning and orientation without requiring infrastructure
- Object detection and semantic segmentation for identifying and tracking people, assets, and obstacles
- Dynamic environment monitoring and mapping to adapt to changes in the facility layout
- Minimal infrastructure requirements, utilizing natural features and visual markers for seamless alignment with facility coordinate systems
- Plug-and-play module compatible with off-the-shelf industrial-grade hardware for easy retrofitting
- Wireless data streaming and a lightweight API for integration with existing fleet and warehouse management systems
- Ability to define dynamic location-based operator alerts for safety and compliance