Next Gen AI
We are creating an alternate future which enables Robots to create their own maps and write their own code. Using a combination of Large Language Models, Procedural Scene generation and Computer Vision, Hyperspec AI is unlocking hundreds of use cases that didn’t exist before.
Automotive
Utilizing Generative AI to create dynamic topologies for HD maps. We enabled workflows for large scale map creation.
Robotics
Feedback loops and Programmable Primitives enable machine / user prompts to provide reinforcement learning.
Geospatial
The usage of generative AI allows us to generate customized geospatial analytics from the raw sensor data and it’s labels.
Generative AI for Robotics
Language is the medium for sensing and reasoning. We combine the best of vision and natural language processing to enable robust intelligent robotic systems.
Generative Code as Policies
Generate code as policies on demand to unlock the infinite potential of your robotic platforms.
Feedback Loops
Provide users and machines an ability to interact with your stack through natural language processing.
Generative Maps
Use the capabilites of Generative AI to upgrade 2D navigation maps into 3D HD maps for autonomous systems.
CASE STUDY
Urban Data Collection
Hyperspec AI was retained by Amazon in 2020 to Map the City of London. Hyperspec AI retrofitted a vehicle in London, and mapped every street of London
CAMERA
immersive 360 video data for all of London
GPS
Inertial / GNSS data @ 100Hz
OBJECT DETECTION
2D bounding boxes and segmentation of imagery
VPS
Vision based positioning with drift correction
Point Cloud Registration
Our low cost data collection hardware leverages our proprietary cloud backend to generate visually stunning point clouds and we even support colorization.
SLAM DEMO
Accurate positioning data even in GPS denied environments.
Label Ops for Sensor Data
We provide indepth autolabeling and MLOps data pipelines to automate the map creation and annotation processes after data collection.
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