“Meta-data is your calls, chat, what you browse, live stream, what you like, what you watch + more – all goes into the meta-data protocol we have been working on for the last 3 years.”
Ashley Turing, Founder
This is just some of what you can do with the protocol
Our intelligent video services convert speech-to-text, then automatically generate subtitles in 30+ languages, meaning the stories that matter reach you no matter what the language. So you can connect to new friends no matter what the language across the globe.
Friends, products, what to watch, who to connect with. Imagine being able to choose which recommendation engine you use. You’ll not be locked, you’ll be in control.
Fair web objectives
Enable a marketplace of translators so you can help connect people to people and save the planet.
Imagine if you could build or choose your favourite recommendation engine from a marketplace of companies or individuals.
You would be able to choose a system to help you create a sustainable life, not tied into any single company.
You choose which ads to place in your videos using an open Ad marketplace, otherwise, known as programmatic advertising.
Using the protocol we create powerful, dynamic topic maps and are able to search within a video to a specific moment. It is an incredible educational tool to turn an audiences into students who can search for specific subjects or keywords inside of a how-to or lecture videos.
Imagine what thought-leaders, scientists, visionaries and change-makers can finally do to improve our lives.
Your data is at the core of the fair web.
Being able to store data decentralised has been the challenge.
We have been monitoring IPFS for the last 3 years and our protocol has taken large inspiration from IPLD – which supports tree git versioning structures. We can support IPLD with a number of new data structures for video capabilities and related meta-data.
We have developed a number of machine-learning algorithms for A.I. processing of video. Extending our partners Microsys and Microsoft capabilities for video topic and relational data discovery within videos.