Synthesis AI

Training a computer vision model without collecting and labeling thousands of real photos of people is the job Synthesis AI takes on.

The company supplies simulation and synthetic data for computer vision and perception AI, so teams can build datasets of human images rather than gather them from the real world.

Synthesis AI is a synthetic data platform built for engineers building perception systems.

Three areas get most of the attention: biometrics and security, consumer devices, and automotive.

Specific uses named include ID verification, activity recognition, AR, VR and XR, virtual try-on, driver monitoring, and pedestrian detection.

That spread tells you the focus is on people, faces and bodies, more than on general scene generation.

The pitch for synthetic data is practical.

Synthesis AI says its data helps produce privacy-compliant human data, less biased datasets, and shorter production cycles.

Real face data comes with consent and regulatory baggage, so avoiding it is the obvious appeal.

The tool is also tagged as an API, which suggests you can work with it from code.

This is a product for ML teams, not casual image makers.