Building the data layer for a world full of seeing machines
Synthera builds the synthetic training data behind vision AI, the models that power cameras, robots, vehicles, and the safety systems that watch the real world
MISSION
AI shouldn't be limited by the data the world can give it.
Vision AI is everywhere now, in cameras, retail floors, warehouses, vehicles, and the safety systems that watch over public spaces. These models need to be trained on situations that are often scarce, biased, or impossible to capture in the real world.
We build the missing layer. An analysis-led pipeline that creates the right training data, with the fidelity, control, and provenance that production systems demand.
BACKGROUND
Synthera was founded in 2025 around the acquisition of Mindtech, a synthetic data company whose platform, Chameleon, had been refined over years with paying enterprise customers.
That platform is now the technical core of Synthera. It ships today, runs on customer hardware, and has delivered over a million training images to date. Dolphin, Vision Vault, and Drift Analysis follow on a sequenced roadmap through 2028.
FOUNDED
2025
CORE IP
Acquired from Mindtech
HEADQUARTERS
United States
THE PROBLEM WE SOLVE
Training data for the real world is broken.
Three structural problems stall vision-AI projects before they ship. Each is a reason Synthera exists.
1 - LEGAL & ETHICAL
Real-world data of humans is restricted.
Legal departments block real-world image use. GDPR, IP, and export-control rules close the door on the data teams need most.
2 - CORNER CASES
The edge cases that matter most are impossible to collect.
Weapons, medical emergencies, child safety, near-misses. The situations a safety model must handle are the ones you can't ethically capture.
3 - GENERIC GENAI