To enable any business, large and small, to leverage the sense of sight and automate any visual task.
To achieve this, we must allow vision AI to be reliable, versatile, and easy to use. In doing so, we are ushering a new era of "living software" of models running on continuously evolving training data.
The world relies on visual decision making. In medicine, engineering, or food production, we continuously see and decide upon what is seen. In a world where technology works for us, technology needs to see.
We are working towards making deep learning more robust and easier to develop, so that any business can implement state of the art AI from a single platform. If we had to make a promise, it would be that adding V7 to your tech stack brings the equivalent advantage of a software development team of 10.
99% of the impact that vision AI can have on the world is unclaimed: from precision agriculture, to intelligent microscopy, to early detection of cancer. If we make AI accessible to those who work within these fields, down to single individuals, we can truly change the fabric of our society for the better.
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.
Our vision is to be the leading platform for a new breed of software ushered by deep learning. Our journey is 1% complete.
V7 focuses on vision, as it is the most difficult domain to solve via traditional software, and the most unstructured form of data to understand with neural networks. Vision AI enables the transformation of traditionally analog tasks into digital ones. Once perception can be considered a solved problem, strong vision is pivotal for control.
By 2030, every technology company in the world will need a platform like V7 to thrive in a world of living software.
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.
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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.
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.
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.
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.
