Platform Live Synthetic Data Engine · Marketplace · Physical AI

The Synthetic Data Engine For Robotics.

CIG Labs is a Physical AI infrastructure company building digital twin environments, synthetic training data at scale, and a open marketplace to source and exchange synthetic datasets — so your robots learn faster, deploy safer, and perform from day one.

40M+
Data Samples
87
Object Classes
20yr
Automation Exp.
Platform Architecture

How CIG Labs builds the
scalable data engine
for Physical AI

Four tightly integrated layers — Virtualize, Synthesize, Exchange, Interface — that go from digital twin to deployed robot in a fraction of the time.

Layer 01
Virtualize
Layer 02
Synthesize
Layer 03
Exchange
Layer 04
Interface
The World Layer

Digital Twin
Environments

We build physically accurate, high-fidelity digital twins of your automation hardware, facilities, and operational environments. These are the simulation worlds that everything else is trained on — reality before reality.

Reality-capture from 3D scan + CAD — accurate to millimeters
Physics-accurate simulation with real material properties
Shared environment for hardware training and AI training
Continuous sync loop: real world updates twin in near real-time
OPC-UA and robot-native protocol support out of the box
TWIN ACTIVE ±0.1mm
The Data Layer

Synthetic Data
Generation at Scale

From inside our digital twin worlds, we generate massive volumes of labelled, diverse, high-quality training data — without ever slowing down real operations or risking physical assets. 40M+ samples and counting.

Domain randomization for edge-case coverage
87 object classes, multi-view, multi-condition
Auto-labelling: bounding boxes, segmentation, pose
Human-in-the-loop control input capture for IL training
Validated pipeline: sim data trains real-world deployable models
The Exchange Layer

Synthetic Data
Marketplace

Not every team needs to build a digital twin from scratch. The CIG Labs Marketplace lets robotics teams source, license, and contribute high-quality synthetic datasets — accelerating training without starting from zero.

Browse and license ready-made synthetic datasets by industry, robot type, and task
Contribute datasets from your own twin environments and earn revenue
All datasets validated for sim-to-real transfer quality before listing
Versioned, documented, and interoperable — works with standard training pipelines
Private and enterprise tiers for proprietary or sensitive operation data
MARKETPLACE — FEATURED DATASETS
Warehouse Palletizing · Box Stack v3
2.4M samples · 12 classes · Top-rated
AVAILABLE
Assembly Line Pick-and-Place · Multi-SKU
5.1M samples · 34 classes · Verified
AVAILABLE
Cold Storage · Unstructured Bin Picking
1.8M samples · 8 classes · New
PREVIEW
Your Environment → List & Monetize
Contribute your twin data · Earn per license
+ SUBMIT
40M+ samples listed · Growing daily
The Deploy Layer

Robotic
Interfacing Pipeline

Trained models don't live in the cloud — they run at the edge, inside the machine. Our interfacing layer bridges AI models to physical robot controllers, with deterministic timing and safety-first architecture.

Hardware-accelerated edge inference — sub-millisecond control loops
Fanuc CRX, UR, and custom arm protocol support
Continuous feedback loop from deployed robot → twin
SaaS and RaaS deployment models via IAMGlobal platform
Safety monitoring and hard-stop override layer built-in
AI Model (VLA)
Edge Inference Engine
Robot Controller
Physical Actuators
↑ Feedback Loop ↑
Process

From environment to
deployed robot — in weeks

01

Capture & Virtualize

We scan your real facility, equipment, and workflows — building a physics-accurate digital twin that mirrors your operation exactly.

Digital Twin
02

Generate Synthetic Data

Inside the twin, we run millions of training scenarios — varied lighting, object placement, edge cases — labelled automatically at scale.

Synthetic Data
03

Train & Validate

AI models train on synthetic data, then validate inside the twin. No physical asset risk. Rapid iteration. Sim-to-real gap closed.

AI Training
04

Deploy to Hardware

Trained models push to edge inference hardware. Your robots perform from day one — with live telemetry feeding back to the twin.

Edge Deploy
0M+
Synthetic Data Samples Generated
Across all training environments
0
Unique Object Classes
Recognized by deployed models
0yr
Automation Experience
Behind the platform
0yr+
Computer Graphics & Simulation
Photorealistic environments
Synthetic Data Marketplace

The first open marketplace
for robot training data

Building a digital twin takes time. Buying validated synthetic data shouldn't. The CIG Labs Marketplace lets teams source ready-to-use datasets, license proven training scenarios, and contribute their own twin-generated data — turning every deployment into a shared infrastructure win.

Source Datasets Instantly
Browse by industry, task type, robot platform, or object class. License and download in minutes.
Contribute & Monetize
Generate data from your digital twin environment, list it on the marketplace, and earn per license issued.
Quality-Guaranteed
Every dataset passes CIG Labs' sim-to-real validation before listing. No junk data. No transfer gap surprises.
Warehouse Palletizing · Box Stack v3
2.4M samples · 12 classes · Industrial
AVAILABLE
★★★★★ 47 licenses
Assembly Pick-and-Place · Multi-SKU
5.1M samples · 34 classes · Verified
AVAILABLE
★★★★★ 112 licenses
Cold Storage · Bin Picking Unstructured
1.8M samples · 8 classes · New
PREVIEW
★★★★☆ 8 licenses
Mobile Robot Navigation · Mixed Env.
3.7M samples · 22 classes · Top seller
AVAILABLE
★★★★★ 89 licenses
+ List Your Dataset
Generate from your twin · Set your license price
SUBMIT →
40M+ samples listed Growing daily ↑ 0 new today
Why CIG Labs

Data that
ships robots

faster.
Closed-Loop Platform
Every deployed robot feeds telemetry back into its digital twin — continuously improving the training data that improves the next model. The platform gets smarter with every hour of operation.
Simulation-Native, Not Simulation-Adapted
We didn't bolt simulation onto an existing hardware product. Our AI pipeline was built sim-first — meaning the same environment that creates training data is the environment the robot is tested in.
Zero Production Risk During Training
Synthetic data means you never have to halt your production line to collect training data. We generate millions of edge cases that your real facility might never encounter — until now.
Hardware-Agnostic Interfacing
Whether you're running Fanuc, UR, or proprietary arms — our hardware-agnostic interfacing layer speaks the same language. Deploy the same trained model across different robot configurations.
A Marketplace That Compounds Value
Every team that deploys on CIG Labs can contribute their synthetic datasets back to the marketplace. The more teams use the platform, the richer and more diverse the shared data pool becomes — a network effect that benefits every user.
Collaborative Network
Get Started

Ready to build your
synthetic data pipeline?

Tell us about your automation challenge. We'll show you how CIG Labs gets your robots trained and deployed faster — or get early access to the Synthetic Data Marketplace and start sourcing datasets today.

Or reach us directly at admin@ciglabs.xyz