Advanced Intelligence

Build AI systems, the learning machine and more, that advance quality of human understanding with machine intelligence at the edge. To do so, we structure more than one ways to internally represent knowledge – both inner and outer representations

At the interface, the system functions like Anthony Bourdain – provide food choices that users value and to keep them little less afraid of unknown

At the base, the systems functions like Sherlock Homes – assemble information for causal reasoning, anomalies, trade-offs and derive inferences for choices and likely consequences

And, at the foundation, the system functions like Dick Fosbury – cognitive and near-decomposable to plan multi-dimensional smaller decisions, learn controls and solve problems with creativity and innovation

We collaborate to build vertically-integrated network environment, or VINE – a collection of AI/ML models – set in proprietary data analyses and rendering system, or DARCY, for humans to attract, interact with machines and, in turn, other humans and interfaces securely – rooted in proprietary smart device, or SECAI.

Our works generally involve fully integrated data including voice, video, gesture, signals, cognitive, context, etc. – set in Self-Organized Cognitive Algebraic Neural Network (or SCANN) Architecture – our multi-layered-multi-dimensional proprietary learning method – and organized in specific functional domain. Thus, the learning machine uses less than 3% of domain-specific training data – substantially low energy design – that dynamically learn and render choices on the journey of experience.

We spend a disproportionate share of time on cognitive behaviors and scientific rigor and transform them into machine learning ideas, then our role is: to ensure more humans spend more time with products and functions; our purpose is: to create ideas that people want to spend more time with; and our belief is: the better the idea, the more time people will spend with it.