Better Models Deployed Faster With Synthetic Data

A synthetic data platform to enable more capable and ethical computer vision AI.

Better Models Deployed Faster With Synthetic Data

Synthetic data for computer vision to enable more capable and ethical AI.

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On-Demand Labeled Images and Videos

Highly scalable data generation platform delivers millions of perfectly labeled images.

On-demand synthetic data for computer vision offers a new paradigm for developing more performant models.

On-Demand Labeled Images and Videos
Photorealistic images

Photorealistic Images

A unique combination of generative AI, procedural generation, and cinematic VFX rendering systems work together to deliver photorealistic images and video.

3D Generative AI

We provide diverse 3D human models built with generative AI. Turnkey asset libraries are available for licensing, in addition to platform access for creating labeled data on-demand.
Ethical Generative AI for Enterprise​
Better Models

Better Labels Better Models

An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more.

Explore our products

Synthesis Humans

Synthesis Humans

Create detailed images and videos of digital humans with never-before-available rich annotations.

Synthesis Scenarios

Craft complex multi-human simulations across a varied set of environments.

Industries, Applications & Use Cases

ID Verification

Millions of images of unique individuals to build privacy-compliant and unbiased facial ID models.

Automotive - Driver Monitoring

Model complex driver behavior across demographics, car interiors, and camera types.

Avatar Creation

A platform for ML engineers to generate labeled data for developing avatars in consumer, industrial and enterprise applications.

Virtual Fashion

Control over body type, pose, and millions of clothing options to create the most robust models.

AI Fitness

Perfectly labeled pose and body segmentation across body types, activities, environments, and cameras.

Teleconferencing

Pixel-perfect annotations for background segmentation and facial landmark tracking.

Visual Effects (VFX)​

Diverse images with detailed labels to build markerless tracking models and virtual green screen applications.

Security

Create multi-person scenarios across environments for activity recognition and threat detection.

Industries, Applications & Use Cases

ID Verification

Millions of images of unique individuals to build privacy-compliant and unbiased facial ID models.

AR/VR/XR

Model complex driver behavior across demographics, car interiors, and camera types.

Avatar Creation

Access to 100K unique identities each with 5,000 facial landmarks for creating the most realistic avatars.

Driver Monitoring

Model complex driver behavior across demographics, car interiors, and camera types.

ID Verification

Millions of images of unique individuals to build privacy-compliant and unbiased facial ID models.

Automotive - Driver Monitoring

Model complex driver behavior across demographics, car interiors, and camera types.

AR/VR/Metaverse

Access to 100K unique identities each with 5,000 facial landmarks for creating the most realistic avatars.

Teleconferencing

Pixel-perfect annotations for background segmentation and facial landmark tracking.

Industries, Applications & Use Cases

ID Verification

Millions of images of unique individuals to build privacy-compliant and unbiased facial ID models.

AR/VR/XR

Human-centric ML models for headset hardware and software development in consumer, industrial, and enterprise applications.

In-cabin Automotive

Model complex driver behavior across demographics, car interiors, and camera types.

Autonomy - Pedestrian Detection

Simulate multi-person scenarios in complex outdoor environments, all with perfect pose and segmentation labels.

Virtual Try-on

Control over body type, pose, and millions of clothing options to create the most robust models.

Teleconferencing

Pixel-perfect annotations for background segmentation and facial landmark tracking.

Security

Create multi-person scenarios across environments for activity recognition and threat detection.

We wrote the book on Synthetic Data

“…our field must tap into rich sources of synthetic and real data. Sergey Nikolenko’s book lucidly surveys the state of the art in the former, and I consider it required reading for any researcher using deep learning based methods.”

Serge Belongie

Department of Computer Science at the University of Copenhagen (DIKU) and Director, Pioneer Centre for Artificial Intelligence

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