Hyperspec AI

Founded 2019

Generate real-time high-definition maps and spatial models from multi-sensor data

You can use Hyperspec AI to build real-time high-definition maps and spatial models for autonomous navigation and spatial tracking. The system synchronizes data across LiDAR, cameras, GPS, and IMU sensors to provide high precision spatial awareness. You can automate machine learning pipelines for data labeling, training, and validating spatial models using self-supervised learning workflows. It also creates digital twins and synthetic testing environments to simulate edge cases, evaluate model performance, and deploy continuous over-the-air updates to autonomous vehicles, robotics, and smart city infrastructure projects.

What Hyperspec AI does

Calibrate and synchronize LiDAR, camera, and IMU sensor streamsGenerate real-time high-definition 3D mapsExtract spatial features and perform semantic segmentationSimulate adversarial scenarios using digital twinsAutomate ground truth labeling for geospatial datasetsDeploy model updates over the air to autonomous systemsMulti-sensor calibration and synchronization across LiDAR, cameras, GPS, and IMUsReal-time HD map generation using visual odometry and feature detectionAutomated machine learning pipeline with active learning workflowsSelf-supervised learning models that generate 3D spatial representationsDigital twin simulation and adversarial testing for edge case validationAutomated ground truth processing with geometric correction and semantic labeling

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