Advanced Intelligence

Build AI systems that advance quality of human-level 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 – in small-world networks. So that…

at the interface, the systems function like Anthony Bourdain – provide food choices that users value and to keep them little less afraid of unknown;

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

and, at the foundation, the systems function like Dick Fosbury – cognitive and near-decomposable to proact or 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 sensory faculties to attract, interact and transact with humans, machines and, in turn, other 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 substantially low energy training, reasoning and decisioning 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 to 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.