synthesis-ai

synthesis-ai

Launch
Research
Updated 6/28/2025

Overview

synthesis-ai

Synthesis AI specializes in generating synthetic data and simulation environments to accelerate the development of computer vision and perception AI models. Their platform offers privacy-compliant, unbiased, and richly annotated synthetic datasets that cover a wide range of applications including biometrics, security, consumer devices, and automotive systems. By simulating complex scenarios and edge cases, Synthesis AI helps organizations reduce bias, preserve privacy, and improve model robustness while speeding up time to production. Their technology supports pixel-perfect 3D labels and detailed annotations essential for spatial computing, AR/VR/XR, and autonomous systems.


Synthetic data for computer vision and perception AI across various industries.

Key Features

Privacy-compliant Human Data

Generates synthetic human data that respects privacy and avoids the use of real personal data.

Unbiased Datasets

Creates balanced and diverse datasets to mitigate demographic biases in AI models.

Pixel-perfect 3D Labels

Provides detailed annotations including depth, surface normals, and 3D landmarks for precise model training.

Simulation of Edge Cases and Rare Events

Enables the creation of scenarios that are difficult or impossible to capture in real life, improving model safety and performance.

Wide Application Support

Supports multiple domains such as ID verification, security, AR/VR/XR, virtual try-on, driver monitoring, and pedestrian detection.

Multi-modal Camera Simulation

Simulates complex driver and occupant behavior captured with various camera types for automotive applications.

Use Cases

ID Verification

Builds privacy-compliant and unbiased facial identification and verification models using millions of synthetic images.

Security

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

AR/VR/XR

Develops human-centric machine learning models for spatial computing, gesture recognition, and gaze estimation in headset hardware and software.

Virtual Try-on

Generates millions of identities and clothing options to train robust virtual try-on models with control over body type and pose.

Driver Monitoring

Simulates driver and occupant behavior across demographics and car interiors to improve driver monitoring systems.

Pedestrian Detection

Simulates multi-person scenarios in complex outdoor environments with perfect pose and segmentation labels for autonomous vehicle safety.

Benefits

Accelerates time to production with unlimited synthetic data generation.
Ensures privacy compliance by avoiding use of real personal data.
Reduces bias in datasets to build fairer AI models.
Provides detailed 3D annotations for improved model accuracy.
Enables simulation of rare and critical edge cases for safety.
Supports a broad range of computer vision applications.

Pricing

Free Tier Available

Pricing information is not publicly available; contact Synthesis AI for custom quotes and demos.

Integrations

Not explicitly listed

The website does not specify third-party integrations or APIs; contact Synthesis AI for technical integration details.

Limitations

Pricing and detailed integration options are not publicly disclosed.
No explicit mention of API availability or developer tools on the website.
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FAQs

What types of synthetic data does Synthesis AI provide?

Synthesis AI provides synthetic human data with detailed 3D annotations for applications in biometrics, security, consumer devices, and automotive systems.

How does synthetic data help with privacy?

Synthetic data is artificially generated and does not contain real personal information, ensuring privacy compliance and reducing legal risks.

Can Synthesis AI simulate rare or dangerous scenarios?

Yes, their platform can simulate edge cases and rare events that are difficult or impossible to capture in real life, improving model robustness and safety.

Quick Start

  1. 1 Step 1: Visit the Synthesis AI website and explore application areas.
  2. 2 Step 2: Schedule a demo with the Synthesis AI team to discuss your use case.
  3. 3 Step 3: Integrate synthetic data and simulation tools into your AI development pipeline.

Support

Contact Form / Demo Scheduling

Users can schedule a demo or contact the team via the website to get support and learn more.

Resources

The website offers resources and press mentions but does not detail dedicated support channels.

Security

Synthetic data generation ensures privacy compliance by not using real personal data.
Unbiased datasets help mitigate ethical and legal risks related to demographic bias.

API

Available: No
Documentation:

No public API documentation is available on the website.

Rate Limits:

Not available.