Industrial AI Data · Est. 2026
We collect, label, and deliver the real-world training data that powers the next generation of factory automation.
The Problem
AI robots trained only on lab demos fail in real environments. The gap between demo and deployment is a data problem.
Egocentric footage from a real factory worker doing a real job is worth more than hours of synthetic simulation — it teaches the robot how humans actually move, adapt, and recover.
NUMEL exists to close that gap. We are the supply chain for physical AI intelligence.
avg. improvement in robot task success
with egocentric pretraining (NVIDIA EgoScale)
single project data requirement in 2026
industry benchmark
humanoid robotics market projection by 2050
Morgan Stanley
Multi-Modal Data Stack
Every layer of human intelligence, captured.
01
Egocentric Video
First-person POV footage at 4K/60fps. The foundational layer — every other modality syncs to this frame.
02
Depth Data
Intel RealSense spatial mapping. Full 3D point cloud of the task environment per frame.
03
Motion Capture
Hand joint tracking via Rokoko Smartgloves. Every finger, wrist, elbow — in 3D space.
04
Gaze Tracking
Pupil Labs eye tracking overlaid on video. Where the worker looks tells the robot where to look.
05
Audio Data
Clip-on field mic. Machine sounds, verbal cues, ambient context.
06
IoT Sensor Data
Live machine state — speed, temperature, cycle status. Synchronized to the second with the video feed.
Data Products
Tier 01
Raw Egocentric Video
$50–$150 / hr
MP4 footage, cleaned & clipped, consent documentation included.
→ Teams doing their own annotation
Tier 02
Annotated Video Dataset
$200–$400 / hr
Tier 1 + action labels, object tags, timestamps.
→ Imitation learning pipelines
Tier 03
Multi-Modal Dataset
$400–$800 / hr
Tier 2 + depth data, audio, multi-view cameras.
→ Advanced robotics pretraining
Tier 04
Full Industrial Stack
$800–$2,000 / hr
Tier 3 + motion capture, gaze tracking, IoT sync, SOPs.
→ Frontier humanoid model training
Tier 05
Subscription Feed
Custom / month
Ongoing fresh data from permanent factory partners.
→ Continuously improving production robots
Humanoid Robotics Labs
Frontier teams training general-purpose embodied agents.
Industrial Automation OEMs
Factories building next-gen autonomous production cells.
Foundation Model AI Labs
Researchers extending vision-language-action models.
How It Works
Step 01 · Deploy
We identify and partner with factories across your target industry.
Step 02 · Capture
Field specialists film 50–200 hrs of first-person egocentric video. Full sensor sync.
Step 03 · Structure
Our annotation team labels every frame — actions, objects, gaze, motion, IoT.
Step 04 · Deliver
Structured datasets delivered via secure cloud. Ready for immediate model training.
Equipment & Stack
Primary Camera
GoPro Hero 12 / Insta360 X4
Depth Sensor
Intel RealSense D435i
Motion Capture
Rokoko Smartgloves
Gaze Tracking
Pupil Labs Neon
Audio
Rode Wireless Go
IoT Data
Raspberry Pi + Sensors
Software
- CVATAnnotation Platform
- FFmpegVideo Processing
- PythonData Pipeline
- AWS S3Secure Delivery
- Label StudioQA Review
Humanoid units Tesla plans by 2027
Market size by 2050 (Morgan Stanley)
Avg. robot task success boost with egocentric pretraining
Single-project training data requirement today
Ready to power your robotics pipeline?
Request a sample dataset. We'll send you annotated clips within 48 hours — no commitment, no cost.