StradVision's perception technology enables vehicles to recognize images in and out of the car, bringing about the advent of self-driving for the masses. At StradVision, we democratize self-driving by making the core perception technology approachable, reliable, and viable, to everyone. This is possible due to our extensive knowledge in Deep Learning that enables cameras to recognize various objects in and out of the car. SVNet enables external vehicle perception via 14+ platforms, accurately and safely detecting and recognizing objects. Also, it was the first network to run deep learning-based object detection software on TDA2x, V3H, V3M, and H3. StradVision's Auto Labeling Tool removes the need to have a large team spending hundreds of hours correcting objects with the risk of human error. It is 8x faster compared to similar services - our clients can expect to immediately and drastically reduce manpower, cost, and error. Also, SVNet's training suite enables our partners to internally utilize and train their own data, making AI training simple, easy, and streamlined. Founded 2014 by perception specialists from South Korea, StradVision's goal is to bring powerful and safe ADAS & self-driving technology to the masses. StradVision's tried and true solutions are already deployed on the streets around the world and millions of vehicles are planned to be added in the very near future.