AI Silos

Siloed Solutions

“Many companies have discovered, often to their surprise, that it is easy to apply AI and get quick results. What is not so easy is building a system of AI applications along with associated data pipelines that interact and are reliable.”

Source: MIT Sloan Management Review’s 2018 GlobalExecutive Study and Research Report on AI

SI – A Computing System for Translating Meanings into Machine Behaviors

Essence® is the next generation of computer technology empowering anyone to more easily control what every class of computer device does. Essence® generates functional code on- the-fly that matches user intent.

illumin8® is the World’s First Adaptive App (Aptiv) Based on Patented Semiotic Intelligence (SI)

Powered by Essence®

A Skills Gap

Big companies are investing heavily in hiring AI talent.Tapping into platforms and tools for AI “as-a-service” is only as good as the solutions offered by the vendors.

Unifying AI Solutions

Essence® allows us to combine and remix existing AI algorithms (e.g. Tensorflow, Caffe, and many others) with our own generated auto-tuning, auto-scaling and auto-synching algorithms, all on the fly.
The result is a AI Superset (combination of many algorithms executed at the same time).
Essence® provides higher levels of parallel execution than any other solution to date.

The Essence® Effect

Above: Traditional methods for transforming media appearance require multiple passes on the data to achieve a multi-faceted transformation. An average task of applying blur, adjusting color banding, and performing edge detection all on a single source can require as many as 5 passes on the data.

Below: Essence® improves on these approaches by ”flattening” passes together, allowing the machine to accomplish multiple passes of work simultaneously due to high levels of code parallelism. The same task of blurring, edge manipulation can be accomplished by Essence® in a single pass.

Powered by Essence®

The Transparency Problem

    Big companies are investing heavily in hiring AI talent.Tapping into platforms and tools for AI “as-a-service” is only as good as the solutions offered by the vendors.

    The Essence® Effect

    Above: Traditional methods for transforming media appearance require multiple passes on the data to achieve a multi-faceted transformation. An average task of applying blur, adjusting color banding, and performing edge detection all on a single source can require as many as 5 passes on the data.

    Below: Essence® improves on these approaches by ”flattening” passes together, allowing the machine to accomplish multiple passes of work simultaneously due to high levels of code parallelism. The same task of blurring, edge manipulation can be accomplished by Essence® in a single pass.

    Powered by Essence®

    Unifying AI Solutions

    Essence® allows us to combine and remix existing AI algorithms (e.g. Tensorflow, Caffe, and many others) with our own generated auto-tuning, auto-scaling and auto-synching algorithms, all on the fly.
    The result is a AI Superset (combination of many algorithms executed at the same time).
    Essence® provides higher levels of parallel execution than any other solution to date.

    “A recent survey we ran at Altimeter found that 38% of consumers rate their understanding of how companies are protecting their privacy as low or extremely low:
    45% responded the same of their trust. But, this study also finds that while understanding and trust are low, interest is high—about half of consumers surveyed say they are interested or extremely interested in understanding how companies are using their data.” -Jessica Groopman, Industry Analyst, Altimeter Group

    The Transparency Problem

    There’s a growing dependency on results that no one understands how they were derived. Lack of transparency in AI means users can’t easily recognize when they’re interacting with a machine. This is increasingly problematic for companies like Facebook and Twitter. Companies are expected by governments and consumers to improve this situation or they risk financial penalties and loss of trust amongst customers.