{"id":116,"date":"2026-02-25T05:59:29","date_gmt":"2026-02-25T05:59:29","guid":{"rendered":"https:\/\/equantz.com\/?page_id=116"},"modified":"2026-03-14T07:14:45","modified_gmt":"2026-03-14T07:14:45","slug":"main","status":"publish","type":"page","link":"https:\/\/equantz.com\/","title":{"rendered":"Main"},"content":{"rendered":"

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Build AI systems that advance quality of human-level understanding<\/em> with machine intelligence at the edge. To do so, we structure more than one ways to internally represent knowledge \u2013 both inner and outer representations \u2013 in small-world networks. So that…<\/span><\/p>\n

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at the interface, the systems function like Anthony Bourdain \u2013 provide food choices that users value and to keep them little less afraid of unknown;<\/p>\n

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at the base, the systems function like Sherlock Homes \u2013 assemble information for causal reasoning, anomalies, trade-offs and derive inferences for choices and likely consequences;<\/p>\n

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and, at the foundation, the systems function like Dick Fosbury \u2013 cognitive and near-decomposable to proact or plan multi-dimensional smaller decisions, learn controls <\/span>and solve problems with creativity and innovation<\/p>\n

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We collaborate to build vertically-integrated network environment, or VINE \u2013 a collection of AI\/ML models \u2013 set in proprietary data analyses and rendering system, or DARCY, for sensory faculties to attract, <\/span><\/span>interact and transact with humans, machines and, in turn, other interfaces securely \u2013 rooted in proprietary smart device, or SECAI.<\/p>\n

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Our works generally involve fully integrated data including <\/span>voice, video, gesture, signals, cognitive, context, etc. \u2013 set in Self-Organized Cognitive Algebraic Neural Network (or SCANN) Architecture \u2013 our multi-layered-multi-dimensional proprietary learning method \u2013 and organized in specific functional domain. <\/span><\/span>Thus, the learning machine uses substantially low energy training, reasoning and decisioning design \u2013 that dynamically learn and render choices on the journey of experience.<\/div>\n
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We spend a disproportionate share of time on cognitive behaviors and scientific rigor <\/span>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.
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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 \u2013 both inner and outer representations \u2013 in small-world networks. So that… at the interface, the systems function like Anthony Bourdain \u2013 provide food choices that users […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-116","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/equantz.com\/index.php?rest_route=\/wp\/v2\/pages\/116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/equantz.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/equantz.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/equantz.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/equantz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=116"}],"version-history":[{"count":23,"href":"https:\/\/equantz.com\/index.php?rest_route=\/wp\/v2\/pages\/116\/revisions"}],"predecessor-version":[{"id":180,"href":"https:\/\/equantz.com\/index.php?rest_route=\/wp\/v2\/pages\/116\/revisions\/180"}],"wp:attachment":[{"href":"https:\/\/equantz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}