Grasp and Affordance Annotation: Labeling Grasp Poses, Contact Points and Object Parts
A policy that can see a mug still has to decide where to hold it. Grasp annotation answers that question in data:…
Teleoperation, annotation, and evaluation programs — scoped, staffed, and running in four weeks. Built for embodied AI teams that need data, not vendors.
Every trajectory, frame, and label belongs to you. Your data never trains another client’s model.
VR, exo, and bilateral leader-follower rigs. Sub-10ms latency, 30Hz joint logging.
Egocentric video, hand pose, gaze tracking, and force gloves for VLA pre-training.
Synchronized RGB-D, lidar, IMU, tactile, and audio. Microsecond alignment.
Action segmentation, affordance masks, language captions, reward signals.
Isaac and MuJoCo scene generation, domain randomization, and sim-to-real bridging.
Held-out test sets, scenario libraries, and scoring infrastructure for model release.
Targeted collection for failure modes identified from your production model logs.
Trained, vetted operators in your studios. Maximum IP control. Best for surgical, autonomous, and high-stakes verticals.
Per FTE-month
Distributed operator network for scene diversity and geographic spread. Fast scale-up, lower per-hour rate.
Per task or per hour
Dedicated core for the spine of your dataset, crowdsourced edge for diversity and long-tail. Most production buyers.
Custom SOW
Whole-body trajectories, cross-embodiment data, and dexterous manipulation for bipedal platforms.
Long-horizon tasks in real environments with bimanual platforms like Aloha, Stretch, and Tiago.
Pick-pack-place demonstrations across SKU diversity, packaging variations, and edge case scenarios.
Procedure-grade teleop data with clinician operators. HIPAA-compliant collection and storage.
Six things that separate a Roborax program from a generic data labeling vendor.
Dedicated pods, crowdsource networks, or hybrid programs. Most vendors offer one model. We scope the right fit for your program before contract.
41 delivery centers across India, the Philippines, the US, Canada, the UK, and seven more countries. Scale or specialize by geography without changing vendors.
SOC 2 Type II, ISO 27001, HIPAA, ITAR, CMMC, UK GDPR, DPDP Act 2023. Regulated programs are not exceptions here — they are the default.
Standard ramp from signed SOW to first production batch. Operator recruitment, training, and calibration are built into the timeline, not added to it.
Average 14-month operator tenure on dedicated programs. Consistency within a program is not accidental — it is how we staff and retain.
20,000+ employees across Fusion CX. The operational infrastructure of a global BPO, purpose-built for embodied AI data. Scale on demand without notice.
Trajectories collected
Delivery centers
SOW to first batch
Label accuracy
FROM THE FIELD
A policy that can see a mug still has to decide where to hold it. Grasp annotation answers that question in data:…
A five-minute demonstration of a robot clearing a table is one episode to your storage system and a dozen distinct skills to…
A robot pushes a connector into a socket. The camera sees a gripper and a socket. It does not see the connector…
Sub-millimeter precision, HIPAA compliance, and credentialed operators — surgical robot data has requirements general robotics programs cannot meet.
A multi-camera robot setup can look perfect and still teach the wrong thing. If one camera’s pose is off by a few…
Most teams add touch after a policy fails at contact. By then, the demonstrations are already collected without it. Tactile sensor data…
A robot logs a camera frame, a joint state and a force reading at what looks like the same instant. It is…
Ask how much data a robot skill needs and most teams answer with a single number: 500 demonstrations, 1,000, maybe 5,000. It…
A human demonstration is the richest teacher a robot can have, and the hardest to use directly. Human arms have different link…
A solutions engineer replies within one business day with a
scoped SOW.