Can We Train Self-Driving AI to be 100,000x Cheaper?

Annotation is an expensive bottleneck. There’s a workaround.

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“How does your AI drive on a road it’s never seen before?”

That’s the first question posed to CEO Vlad Voroninski by TechFirst podcast host John Koetsier during Vlad’s recent guest appearance.

“The software we develop has much higher levels of accuracy. It can generalize better and handles more corner-cases. Using computer vision allows you to build an ultimately cheaper [AI] stack,” says our CEO.

“We can drive with just one camera and one GPU. We can drive it on a road without using data from that road. The difference is the ability to interpret real-time sensor data quickly and accurately.”

Written by is building the next generation of AI technology for automation.

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