Dear reader, if you are interested in the development of artificial intelligence, particularly in its potential to improve people’s quality of life, and its applications in the field of vision, then this article is for you. This is a market analysis and an attempt to diagnose a problem nobody mentions.

Let’s begin by looking at what companies deploying computer vision at scale are actually saying. The proof-of-concept phase is over.

Daniel Gabay, CEO and Co-Founder of Trigo, whose Physical AI platform is live in supermarkets across Europe and the US, is explicit: “We are past the proof-of-concept phase. The most critical milestone we are crossing right now is proving to the industry and the public that this is a highly secure, scalable technology that they can completely trust.”

Trust. Not accuracy. Not latency. Not model performance. Trust.

Ohad Hever, COO and Co-Founder of UVeye, which analyzes over five billion vehicle images a year for General Motors, Amazon, and Volvo, frames the same shift from a different angle: “The democratization of AI means that basic algorithms are becoming commoditized. Our enduring advantage is shifting from pure algorithmic innovation to the ability to productize AI at scale — fusing computer vision, hardware, edge computing, and operational software into a seamless, trusted system that solves massive industry problems.”

The words........

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