Explore A Vivid World
in the Eye of AI
Why AI Vision
Computer Vision
Computer vision not only views and interprets the visual world in much the same way humans do, but it can also see things humans can't, such as atmospheric pressure and air quality.
AI Enhancement
By incorporating AI capabilities, such as deep learning, computer vision can detect patterns in the image over time.
True Speed Learning
With data-crunching power, AI vision can understand images at a scale and speed that is impossible to accomplish by humans.
Industry 4.0
If you are in constructions, logistics or adjacent verticals, check out our past AI projects in construction site safety, logistics, inspections, and AI-enhanced warehouse robots.
Collaboration and Customization
Our patent-pending AI is the vision & brain for smart robots, cameras, and sensors. It can be the AI you need through collaborative training and tuning.
Our Clients
The computer vision market is projected to reach $25 billion by 2023
trillion
According to Harvard Business Review, AI will add $13 trillion to the global economy over the next decade.
trillion
Vision data is anticipated to be a major driver of Industry 4.0, a transformation that is expected to deliver between $1.2 trillion and $3.7 trillion in potential value by 2025 worldwide, according to McKinsey.
in 2 years
According to a 2018 survey by Harvard Business Review Analytic Services, 82% of respondents say that they will assess, pilot, or implement or will have adopted computer vision capabilities within two years.
AI-related jobs
According to a 2019 Dun & Bradstreet report, 40 percent of respondents from Forbes Global 2000 organizations say they are adding more AI-related jobs.
have adopted AI
The results of 2020's McKinsey Global Survey on artificial intelligence (AI) shows that 50% of respondents have adopted AI in at least one business function.
of successful scaling firms
According to a Harvard Business Review survey, nearly 90% of the companies that had engaged in successful scaling practices had spent more than half of their analytics budgets on activities that drove adoption, and AI-driven solutions are the key.