Security
Enterprise-grade controls, encrypted pipelines, & strict access governance. Built for scale and reliability.
Real human data for
roboticsVision · Depth · Tactile · Motion · Wrist POV
Our Team Background
Robots need more than pixels. Pixels show what the world looks like — Tridi captures how it moves, twists, grips, and resists.
Modalities
Five senses, all synchronized.
Vision, stereo depth, tactile force, body motion, and wrist POV — all captured together, aligned frame-by-frame. Unlike other providers, we capture more than just video.
time
0s
1s
2s
3s
4s
5s
6s
7s
8s
9s
Vision
Depth
Tactile
L
R
L
R
L
R
L
R
L
R
Motion
Wrist POV
Environments
Real environments, not studio stages.
Homes, offices, labs, factories, fields — every session is captured where your robot will actually work. Studio data doesn't transfer; our operators show up on location.
Homes
Offices
Restaurants
Retail
Industrial
Logistics
Construction
Agriculture
Diversity
Built to generalize.
In addition to diverse environment coverage, Tridi stretches every other axis that drives real-world generalization — objects, tasks, and operators.
Object diversity
Thousands of unique instances across materials (rigid, deformable, clear), sizes, shapes, and weights.
Task variety
Pick and place, stacking, insertion, tool use, navigation, and multi-step sequential tasks.
Operator diversity
Multiple demonstrators per task with varied skill levels, styles, handedness, and demonstration speeds.
Outputs
Structured 3D datasets, beyond raw footage.
We offer training-ready derived signals — not just raw data you still have to process. Depth, body pose, tactile forces, object segmentation, and action labels — all synchronized.
Capture multimodal data
RGB · Depth · IMU · Tactile
Stereo depth maps
Per-pixel depth from synchronized stereo with calibrated intrinsics and extrinsics.
Body pose estimation
3D skeletal joints tracked frame-by-frame across the operator's body.
MANO hand meshes
Articulated MANO meshes for left and right hands frame-by-frame.
Tactile force maps
Per-sensor pressure grids time-synced to grasp and contact events.
Object segmentation
Instance and part masks aligned to geometry, depth, and contact.
Atomic action labels
Verb-object spans labeling fine-grained actions for imitation and VLA training.
Delivery Formats
Why Tridi?
What we capture that others don’t.
Side-by-side against other robotics and physical-AI data providers — the modalities, environments, and structured outputs they skip.
| CAPABILITY* | Tridi | Others |
|---|---|---|
Egocentric RGB video | ||
Wrist POV video | ||
Tactile force sensing | ||
Stereo depth (IR dot projection) | ||
Inertial Measurement Unit (IMU) motion data |
* Comparison based on publicly listed capabilities of robotics and physical AI data providers, as of May 2026.
Solutions
Ground truth for embodied intelligence
Purpose-built datasets for the key pillars of embodied AI — robotics, world models, enterprise physical operations, and frontier labs research — grounded in real human demonstration.
Robotics Training
Use human demo data for VLA model training, imitation learning, and policy refinement.
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World Models Training
Build spatial intelligence from multimodal real-world capture.
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Physical Operations
For enterprises: turn your proprietary workflows into high-quality robotics data.
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Research & Evaluation
Benchmark datasets and evaluate task libraries for academia & frontier labs.
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Security and Privacy
Data you can deploy with confidence
Privacy by design and enterprise-grade security built into every step — from collection to delivery.
Privacy
Engagement data stays confidential and separated, with detailed audit logs for traceability.
FAQs
Frequently Asked Questions
Ready to train your embodied AI?
Capture how humans interact with the physical world to model embodied spatial intelligence, at scale.