Hardware we build.
IN DEVELOPMENTOur capture system brings together first-person cameras, motion sensors and haptic gloves. We build the hardware around the work.
THE PHYSICAL WORLD IS THE NEXT FRONTIER
Real-world data.
Machine
intelligence.
Vision. Motion. Hand interaction.
Our own capture hardware and data
infrastructure for physical AI.
+ BUILT FOR PHYSICAL AI
The next generation of
intelligence needs
first-hand experience.
A person restocks a shelf. Cleans a surface. Inspects a machine. Every action carries knowledge a robot needs.
Machine Age is building a direct path from that experience to useful training data: our own hardware for vision, motion and hand interaction, collection around real tasks, and processing designed with your team.
See how experience becomes dataROBOTICS COMPANIESFRONTIER MODEL TEAMSENTERPRISE DEPLOYMENT TEAMS
01 / THE MACHINE AGE SYSTEM
HARDWARE → EXPERIENCE → DATAStart in the real world.
Build for the model.
Vision capture. Motion sensors. Haptic gloves. One system, shaped around the task your model needs to understand.
MACHINE AGE / CAPTURE SYSTEMMA—01 · DESIGN STUDY
ENGINEERED TO CAPTURE
VISION · MOTION · HAPTICS
VISION · MOTION · HAPTICS
3D view unavailable here. The full capture system is shown as a concept schematic.
ASSEMBLED VIEWDESIGN VISUALISATION
DRAG TO ROTATE · SELECT TO INSPECT
00%
Experience that matters.
Task-specific collection in commercial environments. Define the actions, working conditions and examples your model needs.
Data with a purpose.
PILOT SCOPEAgree the processing with your team: quality checks, task segmentation, metadata and a delivery format that fits your training workflow.
02 / THE DATA LAYER
ILLUSTRATIVE EXPLORERA world of actions.
Structured for learning.
Vision, movement and hand interaction. Define the signals your model needs, then build a dataset around the work.
EXAMPLE SEQUENCERETAIL_001
REACH → GRASP → PLACE
01 / CAPTURE
Human experience
Vision, motion and hand interaction.
02 / PROCESS
Useful structure
Review, segment and enrich.
03 / DELIVER
Your learning pipeline
Buyer-defined data and acceptance.
03 / BUILT AROUND YOUR NEXT BREAKTHROUGH
Different machines.
A shared need for experience.
We’re looking to work with teams turning physical AI into useful work.
Robotics companies
Task demonstrations for manipulation, everyday work and the environments your robots need to navigate.
↗Frontier model teams
Collection programmes shaped around your research questions, data requirements and evaluation criteria.
↗Enterprise deployment teams
Document real workflows and explore the training data a physical AI deployment would need.
↗04 / LET’S BUILD SOMETHING THAT LEARNS
Your task.
Your environment.
Our starting point.
Tell us what your system needs to learn. We’ll shape a pilot around the hardware, capture and processing required.
01 DEFINE THE TASK02 AGREE A SAMPLE03 SCOPE THE PILOT