V7's mission is to accelerate our understanding of the natural world through machine vision by enabling any device to gain the sense of sight. In order to do so, we must enable vision AI to be easily trained and deployed at scale, and furthermore deeply integrated into meaningful industries.
We are working towards making deep learning easier and more accessible to use, so that any business can implement state of the art AI from a single platform without requiring a team of machine learning scientists.
There are 6 generally recognized areas of the human visual cortex, V1 through V6. The primary visual cortex V1 enables our brain to recognize essential shapes, while the following ones extract complex meanings in color, form, and motion. We want to create a seventh area for machines, enabling them to perceive the world beyond what our brains enable us today.
540 million years ago, the Cambrian explosion gave live on earth the sense of sight, creating the fastest acceleration in species and skill diversity. We want V7 to bring forth a similar revolution - granting all automata with sight, and enabling it to multiply the tasks they can perform.
Millions of medical images were processed by AI and human doctors this year so far. V7 win's the UK's most prestigious AI conference award.
There are a record number of 9,977 machine learning startups and companies in Crunchbase today, an 8.2% increase over the 9,216 startups listed in 2020 and a 14.6% increase over the 8,705 listed in 2019. V7 allows vision-based A.I. systems to learn continuously from training data with minimal human supervision.
Founded in 2018 by Alberto Rizzoli and Simon Edwardsson, V7 uses Elixir, Phoenix, and Cowboy to power their web platform, responsible for managing large amounts of data and orchestrating dozens of Python nodes to carry out machine learning jobs.