Every signal needed to train robot foundation models.
Capture, validate, annotate, and export multimodal training data for VLAs, diffusion policies, humanoids, and world models — from real robot trajectories to simulation, egocentric human video, retargeted motion, force/tactile, and language annotations.
Training Data Coverage
Heterogeneous signals. One supplier.
Modern robot policies — GR00T, π0/π0.5, OpenVLA, Helix — train on a mix of real teleop, autonomous rollouts, simulation, human video, motion capture, force/tactile, and language. We capture all of it.
Sample Lab
See the data before you license it.
Four real episodes — bimanual, humanoid, contact-rich dual-arm, and language-conditioned single-arm. Synchronized cameras, action-vs-state curves, joint-space trajectories, and dataset health, end-to-end.
ALOHA Bimanual — Coffee Prep
Real bimanual coffee-prep episode at 50 Hz with four synchronized camera views (overhead, low-angle, and two wrist cameras), full leader/follower joint streams, and per-frame action targets.
Humanoid — Warehouse Manipulation
Real humanoid warehouse episode with dual-camera capture, 19-D body proprioception, and a 40-D whole-body action vector ready for GR00T or openpi humanoid fine-tuning.
Collaborative Dual-Arm — Contact-Rich Threading
Bimanual contact-rich threading episode with four-view capture and high-frequency action streams. Demonstrates the schema we ship for assembly and dexterous manipulation collections.
Collaborative Single-Arm — Pick & Place
Single-arm pick-and-place episode with three synchronized cameras (scene + hand-mount + side), proprioceptive state, and language instruction — ideal for OpenVLA-style fine-tuning.
The Platform
Data, pipeline, and services. Unified.
The Corpus
Real teleop, autonomous rollouts, simulation, human video, retargeted motion, force/tactile and language. Captured across ALOHA bimanual, humanoid, and collaborative robots — every frame production-ready.
Processing Pipeline
Raw video in, action tokens out. Our auto-labeling pipeline transforms teleoperation recordings into training-ready datasets.
Teleop Services
Human-in-the-loop dexterity. Our expert operators capture complex manipulation scenarios with sub-20ms teleoperation latency and haptic feedback.
Core Technology
End-to-end collection platform.
A crowdsourced pipeline connecting researchers with expert operators and calibrated hardware. Define your task, and we handle the rest.
Create Task
Researchers define collection requirements, scenarios, and quality criteria.
Match Contractor
System assigns qualified operators based on expertise and equipment.
Connect Hardware
Contractor connects to calibrated robot arms, cameras, and sensors.
Collect Data
Expert teleoperation capture with real-time monitoring and feedback.
Auto-Verify
Automated QA checks for trajectory continuity, drift, and format compliance.
Review & Deliver
Task creator reviews quality, provides feedback, data delivered in HDF5/LeRobot.
{ "task_type": "bimanual_manipulation", "scenarios": ["kitchen_pickup", "table_sort"], "episodes_required": 500, "quality_criteria": { "success_rate": 0.95, "max_drift_ms": 5 }, "output_format": "hdf5+lerobot" }
Training-Ready Guarantees
Validated, synced, training-ready.
Every episode — teleop, sim, human video, retargeted motion — passes the same automated QA before delivery. What ships is what your policy sees: synchronized, labeled, and formatted for immediate training.
Cross-modal synchronization verified per-frame. RGB, depth, force/torque, and proprioception aligned within 5ms tolerance.
Every episode tagged success or failure with failure-mode annotation. Train on clean demonstrations, test against edge cases.
Real teleop, autonomous rollouts, simulation, human video, retargeted motion, force/tactile, language, QA — captured under one schema.
Native LeRobot v2/v2.1, GR00T-LeRobot, HDF5, and MCAP. Load directly into your training loop — RLDS and robomimic exports available on request.
Automated QA Pipeline
Every episode passes through 12 automated checks before entering the dataset. Rejected episodes are re-collected, not patched.
Marketplace
Ready-to-train packages.
ALOHA Configuration - Home Tasks
700 hours of dual-arm teleoperation data covering bedroom, kitchen, and living room scenarios. Includes synchronized multi-camera RGB observations, high-frequency joint position data, and end-effector pose tracking.
Humanoid Dual-Arm Dataset
600 hours of humanoid dual-arm manipulation across diverse household and retail scenarios. Features depth sensing, force feedback, and 4-camera coverage for complex object interactions.
Collaborative Dual-Arm Collection
900 hours of collaborative dual-arm robot operations for complex manipulation tasks. Optimized for warehouse logistics, bin picking, and sorting operations with depth perception.
Collaborative Single-Arm Tasks
300 hours of single-arm collaborative robot data for precision assembly and manipulation. Features force feedback for contact-rich tasks and fine motor control.
Strategic partners
Deploying with the world's leading teams.
Collaborating with industry leaders to define the future of embodied AI.
Walker S Series
Industrial-grade dexterity powered by SignIQ Lab's manipulation dataset. Deployed in major EV manufacturing lines.
Tiangong (天工)
The world's first full-sized electric running humanoid. Training on SignIQ Lab's embodied intelligence platform.
Train on the data,
not the data sheet.
Inspect a real episode end-to-end, then talk to our team about ready-to-use datasets or a custom capture run in our instrumented facilities.