Trusted by leading robotics labs and physical intelligence builders.

We help design complex data pipelines from sensor setup to high-context annotation and validation.

Data for Physical AI & Robotics

The data engine that gets physical AI from the lab to the real world.

High-stakes AI demands high-fidelity data. Support your robotics and world model development with TELUS Digital's globally-distributed training data infrastructure. Our end-to-end data pipelines cover the entire lifecycle, spanning sensor setups, egocentric data collection and VLA post-training.

Trusted by leading physical AI labs and robotics innovators

Train everywhere. Deploy anywhere.
Diversity scales capability. Power your autonomous systems with egocentric videos and teleoperation data spanning remote digital setups, lab scenarios, outdoor field conditions and factory floors, across hundreds of manipulation tasks, object categories, lighting conditions and occlusion scenarios.
Every sensor type. Every modality. In sync.
Get physics-aware and semantic labels with keypoint tracking, action preference labeling, failure modes, contact points and spatial reasoning across lidar, RGB, depth, force-torque and tactile sensors. Our proprietary platforms handle collection, annotation and QA in one integrated pipeline.
From pilot to production, on your timeline.
Scalable, repeatable data pipelines, from quick experiments to long-term batches timed to your R&D cycles. We set up labs globally, manage hardware procurement and complex data workflows, and handle compliance end-to-end. One vendor, one SLA and one team invested in your continued success.

1M+
Video hours in progress
70+
Global delivery centers for data collection
1M+
Global community available for diverse tasks

End-to-end training data for physical intelligence

Powered by our experience in automotive autonomy, we help robotics labs with sensor setups, hardware integration, foundational training and simulations, and real-world interactions.

Whatever data physical AI and world models need, we deliver it

One physical AI data partner for every R&D requirement, covering pre-training, simulation-training and post-training. We guide you from day-0 strategy, day-1 data capture to month-1 real-world validation.

Diverse pre-training coverage
Our globally distributed data solutions are built to handle varying needs and edge cases. This includes data types (e.g., egocentric and wrist-mounted videos, robot manipulation, humanoid interactions), sensor types (e.g., RGB-D, lidar, IMU, force, torque, tactile), cross-embodiment coverage (e.g., single or dual arm, dexterous hands, teleoperation) and collection modes (e.g., digital and remote, onsite moderated, field operations).
World model and simulation training
World model and sim2real training requires high-fidelity reconstructions, spatial mapping and real-world interaction data. We deliver these capabilities alongside expert-led teleoperations, digital twin setups, execution traces, long-horizon activity sequences and the evolving requirements for simulation grounding.
High-context, physics-aware annotations
Our dual-language grounding links task-level intents to fine-grained timestep labels, equipping models with both strategic understanding and granular action grounding. We bridge the gap between lab demos and live deployment by leveraging physics-aware object annotations in Ground Truth Studio and kinematics-aware semantic labels in Fine-Tune Studio, which include complex reasoning and explainability notes.
Complex post-training support
Improve decision robustness and train world model future-state predictions with complex labeling workflows such as explainability narratives for spatial, temporal and physical evaluations, and chain-of-thought reasoning for the same. Our platforms handle collection and annotation for complex sensor-fusion data as well as human-in-the-loop VLA training with action justifications.