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Industry solution

AI training data for Robotics & embodied AI

Teleoperation, manipulation, and real-world sensor data captured in controlled physical environments for consumer and industrial robotics.

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Overview

Data operations tuned to Robotics & embodied AI

Embodied AI learns from physical interaction, which you cannot scrape from the web. Corpshore AI captures teleoperation demonstrations, grasp and manipulation data, and synchronized multi-sensor streams in controlled physical environments, then labels them for perception and policy learning. Owned hubs give you a repeatable capture setup rather than a one-off collection.

Teleoperation demonstrations for imitation learningGrasp and manipulation data collection3D perception and pose labelingPhysical-world multi-sensor capture
AI training data for Robotics & embodied AI at Corpshore AI
The challenge

Where the data breaks down

  • Interaction data cannot be scraped; it has to be captured physically, at cost and with careful setup.
  • Sensor streams from cameras, depth, and force must stay time-synchronized or the demonstration is useless.
  • Demonstration quality varies by operator, which injects noise into imitation learning.
  • Object pose and contact events are laborious to label accurately in 3D.
Our approach

How Corpshore AI delivers

  • We capture demonstrations in controlled physical environments with a repeatable rig and lighting.
  • Camera, depth, and force streams are time-synchronized at capture so every frame lines up.
  • Operators follow a defined protocol, and demonstrations are reviewed for consistency before labeling.
  • 3D perception, pose, and contact events are labeled against your ontology and consensus-reviewed.
Delivery workflow

From scope to delivery, in robotics & embodied ai

Step through how a robotics & embodied ai engagement runs under one operator and a single SLA.

1. Scope

We define the tasks, rig, sensors, and ontology, then set the operator protocol and success criteria for each demonstration.

Stage 1 of 5
Data types

What we deliver

Teleoperation and demonstration trajectories
Grasp, manipulation, and contact-event data
Synchronized RGB, depth, and force sensor streams
6DoF object pose and keypoint labels
3D segmentation and scene-perception labels
Physical
capture in controlled, repeatable environments
Synced
time-aligned camera, depth, and force streams
Protocol
operator demonstrations reviewed for consistency
97%+
accuracy on perception labels via QA cascade
Why Corpshore AI

The operator advantage for robotics & embodied ai

  • Owned hubs provide a repeatable capture setup, so collections are consistent rather than one-off.
  • We both capture and label, so demonstration data arrives model-ready under one SLA.
  • In-region teams keep physical capture at a cost that supports the volume embodied AI needs.
Relevant services

Services behind this solution

Data CollectionField & physical-world dataAnnotation & LabelingEvery modality, 97%+ accuracyRobotics & Embodied AIReal-world sensor & vision data
FAQ

Robotics & embodied AI, answered

Teleoperation and manipulation demonstrations, grasp and contact-event data, and synchronized RGB, depth, and force sensor streams. Capture happens in controlled physical environments with a repeatable rig.

Ready to scope a pilot?

Tell us your modality, volume, and languages. We'll return an indicative scope, timeline, and cost band.

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