Equals unifies the siloed worlds of the various apps, services, and networks we use into one borderless network and links them to our Digital Identity. It makes us productive, and our data secure, enabling us to manage and assert fine-grained control over our resources regardless of their trust-domain or application.

The result is a Relevance Intelligence platform that makes sense of our social signals; our exchanges with others over various channels, apps, services, and networks. The intelligence is delivered via the Equals network agent to brings us what is relevant to us, honoring our choice, privacy, and control.

Our always-on life, with our hyper-connected apps, services, and devices, is overloaded. Our identifiers, data, and relationships are fragmented, and we have lost control over our privacy. Apps and Services divide our network into artificial silos; they represent us using the identifiers they issue and present us as different people. Given that each is a walled garden, we have no unified way to manage our various, apps, services, and devices. The result is that we have lost choice, privacy, and control over our data and resources in the always-on, connected world.

As Equals connects our digital world, it processes all of our digital lifestreams from the apps and services we use and annotates them with tags to create our socio-semantic graph. It discovers patterns in our asserted behavior and learns our preferences across contexts and relationships, just like a real-world assistant. The Equals Network Agent consults this graph in real-time to transform our experiences into contextual relevance. It bubbles-up what is relevant to us and asserts control on a per relationship, per context basis.

Equals learns what is relevant to us by learning from our explicit communications and actions in different contexts. It does that by processing our communication behavior and interprets social signals across channels with our connections, to contextualize our experiences. This contextualization reflects unobserved or tacit preferences, which are correlated along with our micro-social network and include social cues. The Equals Network Agent delivers this machine learning and relevance intelligence to our applications and services via the Equals APIs.