{"id":15,"date":"2026-07-31T17:44:04","date_gmt":"2026-07-31T17:44:04","guid":{"rendered":"https:\/\/yotta.blue\/?page_id=15"},"modified":"2026-08-11T23:59:33","modified_gmt":"2026-08-11T23:59:33","slug":"home","status":"publish","type":"page","link":"https:\/\/yotta.blue\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"15\" class=\"elementor elementor-15\">\n\t\t\t\t<div class=\"elementor-element elementor-element-542e5c4 e-con-full e-flex e-con e-parent\" data-id=\"542e5c4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-26296a9 e-con-full e-flex e-con e-child\" data-id=\"26296a9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-72c84a1 e-con-full e-flex e-con e-child\" data-id=\"72c84a1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element 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data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f67b28d e-con-full e-flex e-con e-child\" data-id=\"f67b28d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-60e6670 e-con-full e-flex e-con e-child\" data-id=\"60e6670\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-f83a16b e-con-full e-flex e-con e-child\" data-id=\"f83a16b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-1503456 e-con-full e-flex e-con e-child\" data-id=\"1503456\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bb6ee55 e-con-full e-flex e-con e-child\" data-id=\"bb6ee55\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6bb92eb e-con-full e-flex e-con e-child\" data-id=\"6bb92eb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-20af3ef e-con-full e-flex e-con e-child\" data-id=\"20af3ef\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-592624b e-con-full e-flex e-con e-child\" data-id=\"592624b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8c6da30 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"8c6da30\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><span class=\"imfpnhj2\"><span class=\"wr7o0fij\">AI on the edge<\/span><\/span><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ffb6e96 e-con-full e-flex elementor-invisible e-con e-child\" data-id=\"ffb6e96\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ea6ef01 e-con-full e-flex e-con e-child\" data-id=\"ea6ef01\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-203af3d elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"203af3d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"c4lnrdhh\"><span class=\"t5gzt7tj\">Machine learning solutions for real-time sensor data processing on mobile, wearable, IoT, and edge 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https:\/\/yotta.blue\/wp-content\/uploads\/2026\/08\/edgeml_logo-150x150.jpg 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-91c190c e-con-full e-flex e-con e-child\" data-id=\"91c190c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2e03351 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"2e03351\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\"><span class=\"cin00s42\"><span class=\"q3f7aovb\">Edge ML<\/span><\/span><\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-feb8fa0 e-con-full e-flex e-con e-child\" data-id=\"feb8fa0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6046bb6 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6046bb6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"c4q507xy\"><span class=\"ixcaislx\"><span class=\"ixcaislx\"><span class=\"y21lahnx\">With our Edge ML software suite and framework, we provide computationally efficient, real-time classification of time-series data on low-power devices to generate, log, and deliver actionable events at the edge, to local networks, or to the cloud. \u00a0<\/span><\/span><\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5c541d6 e-con-full e-flex e-con e-child\" data-id=\"5c541d6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element 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elementor-widget-icon\" data-id=\"f227629\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"#home2\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9c3cc39 e-con-full e-flex e-con e-child\" data-id=\"9c3cc39\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3baf6fd e-con-full e-flex e-con e-child\" data-id=\"3baf6fd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-5512002 e-con-full e-flex e-con e-child\" data-id=\"5512002\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e8e03e4 e-con-full e-flex e-con e-child\" data-id=\"e8e03e4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6bf658f e-con-full e-flex e-con e-child\" data-id=\"6bf658f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-5fee38f e-con-full e-flex e-con e-child\" data-id=\"5fee38f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-77a38be e-con-full e-flex e-con e-child\" data-id=\"77a38be\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-9938483 e-con-full e-flex e-con e-child\" data-id=\"9938483\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-4be78d1 e-con-full e-flex e-con e-child\" data-id=\"4be78d1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1f1eec5 e-con-full e-flex e-con e-child\" data-id=\"1f1eec5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0882f26 e-con-full e-flex e-con e-child\" data-id=\"0882f26\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-b0aee4e e-con-full e-flex e-con e-child\" data-id=\"b0aee4e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-f28d5a7 e-con-full e-flex e-con e-child\" data-id=\"f28d5a7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-c89bce9 e-con-full e-flex e-con e-child\" data-id=\"c89bce9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0d6adc7 e-con-full e-flex e-con e-child\" data-id=\"0d6adc7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-14a341f e-con-full e-flex e-con e-child\" data-id=\"14a341f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-ca8ff9d e-con-full e-flex e-con e-child\" data-id=\"ca8ff9d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-a8038d8 e-con-full e-flex e-con e-child\" data-id=\"a8038d8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-cef975b e-con-full e-flex e-con e-child\" data-id=\"cef975b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-df886b6 e-con-full e-flex e-con e-child\" data-id=\"df886b6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f007c99 e-con-full e-flex e-con e-child\" data-id=\"f007c99\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-591a0c2 e-con-full e-flex elementor-invisible e-con e-child\" data-id=\"591a0c2\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;fadeInUp&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b9b7850 elementor-widget elementor-widget-softlite_dynamic_card_box\" data-id=\"b9b7850\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"softlite_dynamic_card_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t \n\t<div class=\"softlite-dynamic-card-box w6jxvyjk\" data-softlite-card-box-link-href=\"https:\/\/yotta.blue\/?page_id=39\" data-softlite-card-box-link-target=\"\"><div data-hook=\"bgLayers\" data-motion-part=\"BG_LAYER comp-lgegxg9c1\" class=\"nkcm9xgl\"><div data-testid=\"colorUnderlay\" class=\"ncx46n51 softlite-dynamic-card-box-background-color-1\"><\/div><div data-motion-part=\"BG_MEDIA comp-lgegxg9c1\" class=\"cw12uwhs\"><\/div><\/div><div data-mesh-id=\"comp-lgegxg9c1inlineContent\" data-testid=\"inline-content\" class=\"gyzwz4qw\"><div data-mesh-id=\"comp-lgegxg9c1inlineContent-gridContainer\" data-testid=\"mesh-container-content\" class=\"pzu8w5pf\"><!--$--><div data-testid=\"richTextElement\" class=\"ce1efspv\"><div class=\"z2uo905d\"> <p class=\"h8nu8x0o softlite-dynamic-card-box-text-1\">Real-time ML Ops<\/p> <p class=\"w2gy6cjf\"><span class=\"gxfh8rht softlite-dynamic-card-box-text-2\">\u200b<\/span><\/p> <\/div><\/div><!--\/$--><!--$--><div class=\"gmp2info\"><div data-testid=\"svgRoot-comp-lgek2kvx\" class=\"o45bckv3\"><span class=\"\"><svg preserveAspectRatio=\"xMidYMid meet\" data-bbox=\"4.855 6.5 47.731 40\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"4.855 6.5 47.731 40\" role=\"presentation\" aria-hidden=\"true\" class=\"y89qmx87 softlite-dynamic-icon\"> <g> <path d=\"M6.855 30.935l10.395-7.038a4.63 4.63 0 0 0 3.146 1.241 4.619 4.619 0 0 0 2.792-.949l4.991 4.537a4.62 4.62 0 0 0-1.051 2.915 4.663 4.663 0 0 0 9.326 0 4.634 4.634 0 0 0-1.284-3.197l10.411-12.265a4.62 4.62 0 0 0 2.342.652 4.663 4.663 0 1 0-4.663-4.663c0 .994.316 1.911.847 2.668L33.572 27.334a4.646 4.646 0 0 0-1.78-.356c-.731 0-1.414.183-2.03.483l-5.274-4.794a4.616 4.616 0 0 0 .571-2.192 4.663 4.663 0 0 0-9.326 0c0 .635.129 1.239.359 1.79l-9.237 6.254V6.5h-2v40h47v-2h-45V30.935zM47.924 9.579a2.589 2.589 0 1 1 0 5.178 2.589 2.589 0 0 1 0-5.178zM31.792 29.052a2.589 2.589 0 1 1 0 5.178 2.589 2.589 0 0 1 0-5.178zM20.396 17.886a2.589 2.589 0 1 1 0 5.178 2.589 2.589 0 0 1 0-5.178z\"><\/path> <\/g> <\/svg><\/span> <\/div><\/div><!--\/$--><!--$--><div data-testid=\"richTextElement\" data-motion-enter=\"done\" class=\"cftvd062\"><p class=\"eoci57ub\"><span class=\"v8aifxaf softlite-dynamic-card-box-text-3\">The low processing requirements of our Edge ML solution means that real-time Machine Learning Model Operationalization Management (MLOPs) can be done at the edge. This allows users to train, generate, and test models on-the-fly without ever needing network connectivity.<\/span><\/p><\/div><!--\/$--><!--$--><div aria-disabled=\"false\" data-motion-enter=\"done\" class=\"rmkga88e\"><a data-testid=\"linkElement\" data-anchor=\"anchors-lgxaf4bp4\" href=\"https:\/\/yotta.blue\/?page_id=39\" target=\"_self\" aria-disabled=\"false\" aria-label=\"Read More\" class=\"wmvfekcc softlite-dynamic-card-box-button softlite-dynamic-card-box-button-text\"><span class=\"pcaifyh0\">Read More<\/span><\/a><\/div><!--\/$--><\/div><\/div><\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a43785 elementor-widget elementor-widget-softlite_dynamic_card_box\" data-id=\"3a43785\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"softlite_dynamic_card_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t \n\t<div class=\"softlite-dynamic-card-box bibqj7vr\" data-softlite-card-box-link-href=\"https:\/\/yotta.blue\/?page_id=9\" data-softlite-card-box-link-target=\"\"><div data-hook=\"bgLayers\" data-motion-part=\"BG_LAYER comp-lgegxg9d4\" class=\"t3phapfu\"><div data-testid=\"colorUnderlay\" class=\"ts4s3xcu softlite-dynamic-card-box-background-color-1\"><\/div><div data-motion-part=\"BG_MEDIA comp-lgegxg9d4\" class=\"u515qb4i\"><\/div><\/div><div data-mesh-id=\"comp-lgegxg9d4inlineContent\" data-testid=\"inline-content\" class=\"tmwte6lw\"><div data-mesh-id=\"comp-lgegxg9d4inlineContent-gridContainer\" data-testid=\"mesh-container-content\" class=\"f4vra33r\"><!--$--><div data-testid=\"richTextElement\" class=\"q8ssh41y\"><p class=\"hrpbmroj softlite-dynamic-card-box-text-1\">Edge ML Applications<\/p><\/div><!--\/$--><!--$--><div class=\"akd3er3x\"><div data-testid=\"svgRoot-comp-lgek4z4r\" class=\"ytimtl68\"><!--?xml version=\"1.0\" encoding=\"UTF-8\"?--> <span class=\"\"><svg preserveAspectRatio=\"xMidYMid meet\" data-bbox=\"25 20 150.001 160.001\" viewBox=\"25 20 150.001 160.001\" height=\"200\" width=\"200\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" data-type=\"color\" role=\"presentation\" aria-hidden=\"true\" aria-label=\"\" class=\"i9e0dsm5 softlite-dynamic-icon\"><defs><style>#comp-lgek4z4r svg [data-color=\"1\"]{fill:#2196FF;}<\/style><\/defs> <g> <path d=\"M59.322 139.365C40.397 139.365 25 123.984 25 105.079c0-2.104 1.707-3.81 3.814-3.81s3.814 1.705 3.814 3.81c0 14.704 11.975 26.667 26.695 26.667 2.106 0 3.814 1.705 3.814 3.81s-1.709 3.809-3.815 3.809z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M59.322 139.365a3.811 3.811 0 1 1 0-7.62c14.72 0 26.695-11.962 26.695-26.667a3.812 3.812 0 0 1 3.814-3.81 3.812 3.812 0 0 1 3.814 3.81c-.001 18.906-15.398 34.287-34.323 34.287z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M140.678 139.365c-18.925 0-34.322-15.381-34.322-34.286a3.812 3.812 0 0 1 3.814-3.81 3.812 3.812 0 0 1 3.814 3.81c0 14.704 11.975 26.667 26.695 26.667 2.106 0 3.814 1.705 3.814 3.81s-1.709 3.809-3.815 3.809z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M140.678 139.365a3.811 3.811 0 1 1 0-7.62c14.72 0 26.695-11.962 26.695-26.667a3.812 3.812 0 0 1 3.814-3.81 3.812 3.812 0 0 1 3.814 3.81c-.001 18.906-15.398 34.287-34.323 34.287z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M89.831 108.889a3.812 3.812 0 0 1-3.814-3.81c0-7.702 6.273-13.968 13.983-13.968a3.812 3.812 0 0 1 3.814 3.81 3.812 3.812 0 0 1-3.814 3.81c-3.505 0-6.356 2.848-6.356 6.349a3.81 3.81 0 0 1-3.813 3.809z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M110.169 108.889a3.812 3.812 0 0 1-3.814-3.81c0-3.501-2.851-6.349-6.356-6.349a3.812 3.812 0 0 1-3.814-3.81 3.812 3.812 0 0 1 3.814-3.81c7.711 0 13.983 6.266 13.983 13.968a3.81 3.81 0 0 1-3.813 3.811z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M150.847 78.413H49.153a3.812 3.812 0 0 1-3.814-3.81 3.812 3.812 0 0 1 3.814-3.81h101.695a3.812 3.812 0 0 1 3.814 3.81 3.813 3.813 0 0 1-3.815 3.81z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M28.814 98.73A3.812 3.812 0 0 1 25 94.92c0-13.304 10.835-24.127 24.153-24.127a3.812 3.812 0 0 1 3.814 3.81 3.812 3.812 0 0 1-3.814 3.81c-9.112 0-16.525 7.406-16.525 16.508a3.812 3.812 0 0 1-3.814 3.809z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M171.186 98.73a3.812 3.812 0 0 1-3.814-3.81c0-9.102-7.414-16.508-16.525-16.508a3.812 3.812 0 0 1-3.814-3.81 3.812 3.812 0 0 1 3.814-3.81c13.318 0 24.153 10.823 24.153 24.127a3.811 3.811 0 0 1-3.814 3.811z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M28.814 108.889a3.812 3.812 0 0 1-3.814-3.81V94.921c0-2.104 1.707-3.81 3.814-3.81s3.814 1.705 3.814 3.81v10.159a3.812 3.812 0 0 1-3.814 3.809z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M171.186 108.889a3.812 3.812 0 0 1-3.814-3.81V94.921a3.812 3.812 0 0 1 3.814-3.81 3.812 3.812 0 0 1 3.814 3.81v10.159a3.81 3.81 0 0 1-3.814 3.809z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M105.085 180a3.811 3.811 0 1 1 0-7.62c6.308 0 11.441-5.127 11.441-11.429s-5.132-11.429-11.441-11.429a3.812 3.812 0 0 1-3.814-3.81 3.812 3.812 0 0 1 3.814-3.81c10.514 0 19.068 8.545 19.068 19.048S115.599 180 105.085 180z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M145.763 78.413a3.812 3.812 0 0 1-3.814-3.81V23.81c0-2.104 1.707-3.81 3.814-3.81s3.814 1.705 3.814 3.81v50.794a3.813 3.813 0 0 1-3.814 3.809z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M125.424 164.762a3.812 3.812 0 0 1-3.814-3.81 3.812 3.812 0 0 1 3.814-3.81c9.112 0 16.525-7.406 16.525-16.508 0-2.104 1.707-3.81 3.814-3.81s3.814 1.705 3.814 3.81c-.001 13.304-10.836 24.128-24.153 24.128z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M125.424 164.762h-5.085a3.812 3.812 0 0 1-3.814-3.81 3.812 3.812 0 0 1 3.814-3.81h5.085a3.812 3.812 0 0 1 3.814 3.81 3.812 3.812 0 0 1-3.814 3.81z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M145.763 144.444a3.812 3.812 0 0 1-3.814-3.81v-5.514c0-2.104 1.707-3.81 3.814-3.81s3.814 1.705 3.814 3.81v5.514a3.812 3.812 0 0 1-3.814 3.81z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M94.915 180c-10.514 0-19.068-8.545-19.068-19.048s8.554-19.048 19.068-19.048a3.812 3.812 0 0 1 3.814 3.81 3.812 3.812 0 0 1-3.814 3.81c-6.308 0-11.441 5.127-11.441 11.429s5.132 11.429 11.441 11.429a3.81 3.81 0 1 1 0 7.618z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M105.085 149.524h-10.17a3.812 3.812 0 0 1-3.814-3.81 3.812 3.812 0 0 1 3.814-3.81h10.169a3.812 3.812 0 0 1 3.814 3.81 3.812 3.812 0 0 1-3.813 3.81z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <path d=\"M105.085 180h-10.17a3.811 3.811 0 1 1 0-7.62h10.169a3.81 3.81 0 1 1 .001 7.62z\" fill=\"#112F5B\" data-color=\"1\"><\/path> <\/g> <\/svg><\/span> <\/div><\/div><!--\/$--><!--$--><div data-testid=\"richTextElement\" data-motion-enter=\"done\" class=\"l1gvtsce\"><p class=\"k7bmvrfm\"><span class=\"w2qufabh softlite-dynamic-card-box-text-2\">Solving real-world problems requires real-world data. Edge ML has been applied to many applications, including human performance assessment, GPS-denied navigation, underwater diver navigation, and real-time search-and-rescue training.<\/span><\/p><\/div><!--\/$--><!--$--><div aria-disabled=\"false\" data-motion-enter=\"done\" class=\"ungpv2d2\"><a data-testid=\"linkElement\" data-anchor=\"anchors-lge1wjme4\" href=\"https:\/\/yotta.blue\/?page_id=9\" target=\"_self\" aria-disabled=\"false\" aria-label=\"Read More\" class=\"i9yiuw79 softlite-dynamic-card-box-button softlite-dynamic-card-box-button-text\"><span class=\"sp1gzk4i\">Read More<\/span><\/a><\/div><!--\/$--><\/div><\/div><\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-09c057b elementor-widget elementor-widget-softlite_dynamic_card_box\" data-id=\"09c057b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"softlite_dynamic_card_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t \n\t<div class=\"softlite-dynamic-card-box vl6kwfhb\" data-softlite-card-box-link-href=\"https:\/\/yotta.blue\/?page_id=9\" data-softlite-card-box-link-target=\"\"><div data-hook=\"bgLayers\" data-motion-part=\"BG_LAYER comp-lgegxg9h\" class=\"hgw7y89q\"><div data-testid=\"colorUnderlay\" class=\"bl0xz6gh softlite-dynamic-card-box-background-color-1\"><\/div><div data-motion-part=\"BG_MEDIA comp-lgegxg9h\" class=\"rqf7mhdv\"><\/div><\/div><div data-mesh-id=\"comp-lgegxg9hinlineContent\" data-testid=\"inline-content\" class=\"vhvpp020\"><div data-mesh-id=\"comp-lgegxg9hinlineContent-gridContainer\" data-testid=\"mesh-container-content\" class=\"zqt3ohce\"><!--$--><div data-testid=\"richTextElement\" class=\"vmhjjtt1\"><p class=\"wkagn1b4 softlite-dynamic-card-box-text-1\">Hardware on the Edge<\/p><\/div><!--\/$--><!--$--><div class=\"wkq9lhas\"><div data-testid=\"svgRoot-comp-lgek523y\" class=\"x49knc1n\"><span class=\"\"><svg preserveAspectRatio=\"xMidYMid meet\" data-bbox=\"59 24 82 152.1\" viewBox=\"59 24 82 152.1\" height=\"200\" width=\"200\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" data-type=\"color\" role=\"presentation\" aria-hidden=\"true\" aria-label=\"\" class=\"oee63717 softlite-dynamic-icon\"><defs><style>#comp-lgek523y svg [data-color=\"1\"]{fill:#2196FF;}<\/style><\/defs> <g> <path d=\"M124.6 24H75.4C69.7 24 59 27.4 59 40.2v119.5c0 5.7 3.4 16.4 16.4 16.4h49.2c5.7 0 16.4-3.4 16.4-16.4V40.4c-.2-5.7-3.6-16.4-16.4-16.4zM63.5 44.8h72.9v98.7H63.5V44.8zm72.9 115c0 11.4-10.7 11.9-11.9 11.9h-49c-11.4 0-11.9-10.7-11.9-11.9v-11.9h72.9v11.9zM63.5 40.4c0-11.6 10.7-11.9 11.9-11.9h49.2c11.4 0 11.9 10.7 11.9 11.9h-73z\" fill=\"#415156\" data-color=\"1\"><\/path> <path d=\"M100 168.9c4.6 0 8.6-3.7 8.6-8.5 0-4.6-3.7-8.5-8.6-8.5s-8.6 3.7-8.6 8.5c0 4.6 3.8 8.5 8.6 8.5zm0-12.6c2.3 0 4.1 1.8 4.1 4.1s-2 4.1-4.1 4.1c-2.3 0-4.1-1.8-4.1-4.1s1.8-4.1 4.1-4.1z\" fill=\"#415156\" data-color=\"1\"><\/path> <path d=\"M104.6 33.2H93.8c-1.1 0-1.8.8-1.8 1.8 0 1.1.7 1.8 1.8 1.8h10.9c1.1 0 1.8-.7 1.8-1.8-.1-1-1-1.8-1.9-1.8z\" fill=\"#415156\" data-color=\"1\"><\/path> <\/g> <\/svg><\/span> <\/div><\/div><!--\/$--><!--$--><div data-testid=\"richTextElement\" data-motion-enter=\"done\" class=\"dn5fm5cj\"><p class=\"zyjlokn1 softlite-dynamic-card-box-text-2\"><span class=\"g6l1gp3g\">Edge compute<\/span> is a term that includes a broad range of devices, from Internet-of-Things (IoT) devices to laptop computers. Our unique ML algorithms are not only optimized for wearable and mobile devices, but also run on Raspberry Pis, laptops, and various embedded compute modules.<\/p><\/div><!--\/$--><!--$--><div aria-disabled=\"false\" data-motion-enter=\"done\" class=\"enwedz83\"><a data-testid=\"linkElement\" data-anchor=\"anchors-lgg700gu4\" href=\"https:\/\/yotta.blue\/?page_id=9\" target=\"_self\" aria-disabled=\"false\" aria-label=\"Read More\" class=\"tgh8puxs softlite-dynamic-card-box-button softlite-dynamic-card-box-button-text\"><span class=\"jrk054bg\">Read More<\/span><\/a><\/div><!--\/$--><\/div><\/div><\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b7b3f22 e-con-full e-flex elementor-invisible e-con e-child\" data-id=\"b7b3f22\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;fadeInUp&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-8360742 e-con-full e-flex e-con e-child\" data-id=\"8360742\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-c64dde5 e-con-full e-flex e-con e-child\" data-id=\"c64dde5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b31d84f e-con-full e-flex e-con e-child\" data-id=\"b31d84f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a65682f e-con-full e-flex e-con e-child\" data-id=\"a65682f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-736c286 elementor-widget elementor-widget-softlite_dynamic_card_box\" data-id=\"736c286\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"softlite_dynamic_card_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t \n\t<div class=\"softlite-dynamic-card-box rar97t29\" data-softlite-card-box-link-href=\"https:\/\/yotta.blue\/?page_id=9\" data-softlite-card-box-link-target=\"\"><div data-hook=\"bgLayers\" data-motion-part=\"BG_LAYER comp-lgei48n31\" class=\"pvuulnzv\"><div data-testid=\"colorUnderlay\" class=\"j6uk32zg softlite-dynamic-card-box-background-color-1\"><\/div><div data-motion-part=\"BG_MEDIA comp-lgei48n31\" class=\"u4rxtcvn\"><\/div><\/div><div data-mesh-id=\"comp-lgei48n31inlineContent\" data-testid=\"inline-content\" class=\"sb1rc039\"><div data-mesh-id=\"comp-lgei48n31inlineContent-gridContainer\" data-testid=\"mesh-container-content\" class=\"hqnnrv4l\"><!--$--><div data-testid=\"richTextElement\" class=\"glp6i2x1\"><p class=\"uj2kf9kt softlite-dynamic-card-box-text-1\">What makes Edge ML different?<\/p><\/div><!--\/$--><!--$--><div class=\"t88lstbj\"><div data-testid=\"svgRoot-comp-lgek5kbm\" class=\"lzj7mw8r\"><!--?xml version=\"1.0\" encoding=\"UTF-8\"?--> <span class=\"\"><svg preserveAspectRatio=\"none\" data-bbox=\"29.5 29.5 141 141\" viewBox=\"29.5 29.5 141 141\" height=\"200\" width=\"200\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" data-type=\"shape\" role=\"presentation\" aria-hidden=\"true\" aria-label=\"\" class=\"udw6sk47 softlite-dynamic-icon\"> <g> <path d=\"M100 29.5c-38.874 0-70.5 31.626-70.5 70.5s31.626 70.5 70.5 70.5 70.5-31.626 70.5-70.5-31.626-70.5-70.5-70.5zm0 133c-34.463 0-62.5-28.037-62.5-62.5S65.537 37.5 100 37.5s62.5 28.037 62.5 62.5-28.037 62.5-62.5 62.5zm23.418-75.794c0 15.993-21.759 23.431-22.686 23.739a4.002 4.002 0 0 1-2.53-7.59c4.784-1.61 17.215-7.656 17.215-16.155a15.97 15.97 0 0 0-10.657-15.076 15.84 15.84 0 0 0-12.189.664 15.846 15.846 0 0 0-8.149 9.089 4 4 0 1 1-7.547-2.655 23.79 23.79 0 0 1 12.237-13.647 23.788 23.788 0 0 1 18.303-.998c9.587 3.373 16.019 12.467 16.003 22.629zm-17.852 46.544c0 3.037-2.463 5.5-5.5 5.5s-5.533-2.463-5.533-5.5 2.43-5.5 5.467-5.5h.066a5.5 5.5 0 0 1 5.5 5.5z\"><\/path> <\/g> <\/svg><\/span> <\/div><\/div><!--\/$--><!--$--><div data-testid=\"richTextElement\" data-motion-enter=\"done\" class=\"lqpws1xg\"><p class=\"ecjwthdi\"><span class=\"mdf6ra9r softlite-dynamic-card-box-text-2\">Our solution provides classification of real-time data on energy-constrained and computationally-constrained devices with end-to-end MLOPs performed remotely or on-device, with <span class=\"h9hriuzx\">optional<\/span> network connectivity.<\/span><\/p><\/div><!--\/$--><!--$--><div aria-disabled=\"false\" data-motion-enter=\"done\" class=\"nyrzmnxf\"><a data-testid=\"linkElement\" data-anchor=\"anchors-lge1wjm74\" href=\"https:\/\/yotta.blue\/?page_id=9\" target=\"_self\" aria-disabled=\"false\" aria-label=\"Read More\" class=\"uhcr15re softlite-dynamic-card-box-button softlite-dynamic-card-box-button-text\"><span class=\"i2uvd9z2\">Read More<\/span><\/a><\/div><!--\/$--><\/div><\/div><\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f0ff21 elementor-widget elementor-widget-softlite_dynamic_card_box\" data-id=\"4f0ff21\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"softlite_dynamic_card_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t \n\t<div class=\"softlite-dynamic-card-box gbrecjar\" data-softlite-card-box-link-href=\"\" data-softlite-card-box-link-target=\"\"><div data-hook=\"bgLayers\" data-motion-part=\"BG_LAYER comp-lgei48n49\" class=\"o5pe3g3o\"><div data-testid=\"colorUnderlay\" class=\"ponxrpbm softlite-dynamic-card-box-background-color-1\"><\/div><div data-motion-part=\"BG_MEDIA comp-lgei48n49\" class=\"kk1pmsbz\"><\/div><\/div><div data-mesh-id=\"comp-lgei48n49inlineContent\" data-testid=\"inline-content\" class=\"ev7k4uc4\"><div data-mesh-id=\"comp-lgei48n49inlineContent-gridContainer\" data-testid=\"mesh-container-content\" class=\"qn8t2ise\"><!--$--><div data-testid=\"richTextElement\" class=\"fqhfs7bx\"><p class=\"q8zki2wc softlite-dynamic-card-box-text-1\">Case Study: Pedometry<\/p><\/div><!--\/$--><!--$--><div class=\"ru6zhp37\"><div data-testid=\"svgRoot-comp-lgek59li\" class=\"k71sx2ep\"><!--?xml version=\"1.0\" encoding=\"UTF-8\"?--> <span class=\"\"><svg preserveAspectRatio=\"none\" data-bbox=\"65.999 19.999 68.001 159.996\" viewBox=\"65.999 19.999 68.001 159.996\" height=\"200\" width=\"200\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" data-type=\"color\" role=\"presentation\" aria-hidden=\"true\" aria-label=\"\" class=\"ga4oh5tv softlite-dynamic-icon\"><defs><style>#comp-lgek59li svg [data-color=\"1\"]{fill:#2196FF;}<\/style><\/defs> <g> <path d=\"M133.89 70.276c.28-1.803 0-2.081-.561-3.329-.561-1.248-1.683-3.052-1.683-3.052s1.122-.971-.281-2.636-4.068-5.549-5.33-7.075c-1.262-1.526-3.226-1.665-3.647-3.329-.421-1.665-1.543-1.526-2.946-2.636-1.403-1.11-4.348-2.636-6.032-3.329-1.683-.694-5.05-2.497-7.294-3.329-2.244-.832-3.927 0-3.927 0s-.982-1.387-.842-2.774 1.964-7.352 1.262-9.294c-.701-1.942-2.244-8.878-7.154-9.433-4.909-.555-7.995 2.774-8.416 7.075-.421 4.3.14 6.103.421 8.045.281 1.942.842 3.329.842 3.329s0 1.665-.701 2.358c-.701.694-2.104 1.665-2.104 1.665s.561.277 1.122.277h1.262s0 1.803-.842 3.19-3.366 2.774-4.068 3.329c-.701.555-2.525 3.19-2.946 6.103-.421 2.913-1.683 7.075-2.244 8.462-.561 1.387-1.262 1.526-.842 2.081.421.555 1.403.971 1.403.971s.14 4.023-1.122 6.658c-1.262 2.636-2.665 5.687-3.086 7.629-.421 1.942-2.946 7.629-2.946 7.629s-1.122.694-1.823 2.219-.14 2.636-.14 2.636-1.122 2.081-1.683 2.913c-.561.832-1.403 2.358-1.403 2.913 0 .555-.14 2.358-.14 3.329 0 .971.14 1.526.842 2.219.701.694 2.244-.555 2.244-.555s.701.416 1.403-.555c.701-.971.701-1.665.701-1.665s.14.971.982 1.665c.842.694 1.122-.277 1.122-.277s.281-1.11.281-2.774c0-1.665.281-2.636.14-3.607-.14-.971 0-1.942 0-1.942l.28-.832s.421.277.842-.555c.421-.832.421-1.526.421-1.526s1.403-2.219 2.805-3.884c1.403-1.665 3.226-3.745 4.489-5.965 1.262-2.219 2.525-5.271 2.805-6.104.28-.832 1.262-5.271 1.262-5.271s-.14 1.526.14 3.052c.281 1.526 1.122 1.387 1.403 3.052.281 1.665-.281 2.913.421 5.549.701 2.636.281 4.439-.14 5.965-.421 1.526.982 1.803.982 1.803s-.982 6.52-.561 9.849c.421 3.329 1.403 9.849 1.683 13.039.28 3.19.14 7.352.701 7.768s2.104-.555 2.104-.555 1.262 4.023 2.104 6.242c.842 2.219 1.262 4.578 1.262 4.578s-.701 1.387-.421 4.161c.281 2.774-.14 5.549-.561 8.878-.421 3.329-.842 8.323-.701 10.126.14 1.803 1.122 7.213 1.122 9.571s-.421 3.052-.842 4.994c-.421 1.942-1.964.555-3.226 3.052s.842 2.081 2.385 2.774c1.543.694 8.136 2.081 9.258.832 1.122-1.248.14-6.103-.28-8.462-.421-2.358.28-8.184.701-9.988.421-1.803 1.543-4.439 1.543-4.439s2.104 1.803 3.366 4.855c1.262 3.052 4.629 9.71 5.33 12.346.701 2.636-1.543 3.745-2.946 4.716-1.403.971-2.244 2.358-1.823 3.468.421 1.11 5.33 2.497 7.715.555 2.385-1.942 2.665-2.497 4.489-3.607 1.823-1.11 3.086-5.826 1.543-7.907-1.543-2.081-2.525-2.913-3.226-5.687-.701-2.774-1.262-14.704-3.928-18.727-2.665-4.023-5.611-9.988-5.751-12.346-.14-2.358.14-4.578.14-4.578s1.262-2.219 2.104-3.468c.842-1.248 1.403-2.774 1.403-2.774s3.366.694 3.927.139c.561-.555.281-2.358.421-4.578.14-2.219 2.104-5.965 2.805-9.849.701-3.884.982-5.826.982-5.826s.281 1.11 1.122.694c.842-.416 1.122-1.526 1.122-1.526s.701.832 1.262.139l.561-.694s.14.832.842-.139c.701-.971.701-1.387.701-1.387s.421.832.842-.139l.421-.971s.982.832 1.823.694c.842-.139.982-1.11.982-1.11l-2.525-1.11s.701-.694.14-1.942c-.561-1.248-1.122-2.774-1.122-2.774s1.403-6.242 2.665-9.155c1.265-2.907 2.527-8.317 2.808-10.12zm-7.434 3.329c-.14 2.358-.701 7.213-1.543 9.988-.842 2.774-2.805 6.381-2.805 6.381s-.842-.971-.982-1.526-.421-1.942-.701-4.161c-.281-2.219-1.824-6.104-2.244-9.017-.421-2.913-.28-4.855.14-7.213.421-2.358-.14-5.41-.14-5.41s.842.971 2.385 2.358c1.543 1.387 4.909 4.161 5.751 5.271.84 1.109.279.971.139 3.329z\" fill=\"#0B0C0B\" data-color=\"1\"><\/path> <\/g> <\/svg><\/span> <\/div><\/div><!--\/$--><!--$--><div data-testid=\"richTextElement\" data-motion-enter=\"done\" class=\"so15f5ux\"><p class=\"a2llod9s softlite-dynamic-card-box-text-2\">We compare our Edge ML solution to commercially available devices and tinyML EVKs for basic pedometry. Running our solution on an Android smartphone, we attempt to trigger false positives while walking a marked course.<\/p><\/div><!--\/$--><!--$--><div aria-disabled=\"false\" data-motion-enter=\"done\" class=\"tlwf3lor\"><a data-testid=\"linkElement\" data-popupid=\"m50so\" target=\"_self\" role=\"button\" aria-disabled=\"false\" aria-label=\"Send us an Inquiry\" aria-haspopup=\"dialog\" tabindex=\"0\" class=\"aahwdr7o softlite-dynamic-card-box-button softlite-dynamic-card-box-button-text\"><span class=\"sgpwvntq\">Send us an Inquiry<\/span><\/a><\/div><!--\/$--><\/div><\/div><\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5039c2 elementor-widget elementor-widget-softlite_dynamic_card_box\" data-id=\"a5039c2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"softlite_dynamic_card_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t \n\t<div class=\"softlite-dynamic-card-box gsgxhjlv\" data-softlite-card-box-link-href=\"\" data-softlite-card-box-link-target=\"\"><div data-hook=\"bgLayers\" data-motion-part=\"BG_LAYER comp-lgei48n9\" class=\"izo88n1q\"><div data-testid=\"colorUnderlay\" class=\"is9ou693 softlite-dynamic-card-box-background-color-1\"><\/div><div data-motion-part=\"BG_MEDIA comp-lgei48n9\" class=\"bbz4o0hi\"><\/div><\/div><div data-mesh-id=\"comp-lgei48n9inlineContent\" data-testid=\"inline-content\" class=\"j267i0q4\"><div data-mesh-id=\"comp-lgei48n9inlineContent-gridContainer\" data-testid=\"mesh-container-content\" class=\"wglju2k2\"><!--$--><div data-testid=\"richTextElement\" class=\"i56eyksg\"><p class=\"vbpkx633 softlite-dynamic-card-box-text-1\">Extensible Framework<\/p><\/div><!--\/$--><!--$--><div class=\"okbwri8f\"><div data-testid=\"svgRoot-comp-lgek5cql\" class=\"zg01aupv\"><!--?xml version=\"1.0\" encoding=\"UTF-8\"?--> <span class=\"\"><svg preserveAspectRatio=\"xMidYMid meet\" data-bbox=\"22.538 13.592 154.924 172.817\" viewBox=\"22.538 13.592 154.924 172.817\" height=\"200\" width=\"200\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" data-type=\"color\" role=\"presentation\" aria-hidden=\"true\" aria-label=\"\" class=\"db1oyeec softlite-dynamic-icon\"><defs><style>#comp-lgek5cql svg [data-color=\"1\"]{fill:#2196FF;}<\/style><\/defs> <g> <path d=\"m27.458 76.311 42.188 24.647a3.268 3.268 0 0 1 1.62 2.824v48.96c0 2.536-2.762 4.107-4.942 2.81l-42.188-25.101a3.27 3.27 0 0 1-1.598-2.81V79.135c0-2.525 2.74-4.097 4.92-2.824z\" fill=\"#1E1B1B\" data-color=\"1\"><\/path> <path d=\"m80.734 106.703 42.188 24.647a3.268 3.268 0 0 1 1.62 2.824v48.96c0 2.536-2.762 4.107-4.942 2.81l-42.188-25.101a3.27 3.27 0 0 1-1.598-2.81v-48.506c0-2.526 2.74-4.098 4.92-2.824z\" fill=\"#1E1B1B\" data-color=\"1\"><\/path> <path d=\"m133.676 185.943 42.188-25.101a3.27 3.27 0 0 0 1.598-2.81v-48.506c0-2.525-2.74-4.097-4.92-2.824l-42.188 24.647a3.268 3.268 0 0 0-1.62 2.824v48.96c0 2.537 2.762 4.107 4.942 2.81z\" fill=\"#1E1B1B\" data-color=\"1\"><\/path> <path d=\"m83.215 35.731 41.736-21.769a3.273 3.273 0 0 1 3.025 0l41.736 21.769c2.293 1.196 2.356 4.454.111 5.738l-41.736 23.87a3.272 3.272 0 0 1-3.247 0l-41.736-23.87c-2.245-1.284-2.182-4.542.111-5.738z\" fill=\"#1E1B1B\" data-color=\"1\"><\/path> <path d=\"m80.734 44.691 42.188 24.647a3.268 3.268 0 0 1 1.62 2.824v48.96c0 2.536-2.762 4.107-4.942 2.81L77.412 98.831a3.27 3.27 0 0 1-1.598-2.81V47.514c0-2.524 2.74-4.097 4.92-2.823z\" fill=\"#1E1B1B\" data-color=\"1\"><\/path> <path d=\"m133.676 123.932 42.188-25.101a3.27 3.27 0 0 0 1.598-2.81V47.514c0-2.525-2.74-4.097-4.92-2.824l-42.188 24.647a3.268 3.268 0 0 0-1.62 2.824v48.96c0 2.537 2.762 4.108 4.942 2.811z\" fill=\"#1E1B1B\" data-color=\"1\"><\/path> <path d=\"M67.735 47.638 29.94 67.351c-2.293 1.196-2.356 4.454-.111 5.738l37.823 21.633c1.649.943 3.701-.247 3.701-2.147V49.831c0-1.858-1.971-3.052-3.618-2.193z\" fill=\"#1E1B1B\" data-color=\"1\"><\/path> <\/g> <\/svg><\/span> <\/div><\/div><!--\/$--><!--$--><div data-testid=\"richTextElement\" data-motion-enter=\"done\" class=\"u7u89j54\"><p class=\"e09rk3ho softlite-dynamic-card-box-text-2\">The Edge ML framework can support modern Artificial Intelligence (AI) and Machine Learning techniques. We can adapt Edge ML for your specifications, requirements, and hardware.<\/p><\/div><!--\/$--><!--$--><div aria-disabled=\"false\" data-motion-enter=\"done\" class=\"nwok4ncj\"><a data-testid=\"linkElement\" data-popupid=\"m50so\" target=\"_self\" role=\"button\" aria-disabled=\"false\" aria-label=\"Send us an Inquiry\" aria-haspopup=\"dialog\" tabindex=\"0\" class=\"fwg6q9xl softlite-dynamic-card-box-button softlite-dynamic-card-box-button-text\"><span class=\"e96xtol6\">Send us an Inquiry<\/span><\/a><\/div><!--\/$--><\/div><\/div><\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b4ceb51 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"b4ceb51\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"#home3\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d72815 elementor-widget elementor-widget-spacer\" data-id=\"4d72815\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1ed4101 e-con-full e-flex e-con e-child\" data-id=\"1ed4101\" data-element_type=\"container\" data-e-type=\"container\" id=\"home2\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4efee13 e-con-full e-flex e-con e-child\" data-id=\"4efee13\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-84c41c7 e-con-full e-flex e-con e-child\" data-id=\"84c41c7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-919f36e e-con-full e-flex e-con e-child\" data-id=\"919f36e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d2dd15e e-con-full e-flex e-con e-child\" data-id=\"d2dd15e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c626537 e-con-full e-flex e-con e-child\" data-id=\"c626537\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-036048e e-con-full e-flex e-con e-child\" data-id=\"036048e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-93ca501 e-con-full e-flex e-con e-child\" data-id=\"93ca501\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-037792c e-con-full e-flex e-con e-child\" data-id=\"037792c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-5a75c26 e-con-full e-flex e-con e-child\" data-id=\"5a75c26\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2a09ecc e-con-full e-flex e-con e-child\" data-id=\"2a09ecc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1448941 e-con-full e-flex e-con e-child\" data-id=\"1448941\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-52c6a4e e-con-full e-flex e-con e-child\" data-id=\"52c6a4e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-5330bdc e-con-full e-flex e-con e-child\" data-id=\"5330bdc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-6ec90c4 e-con-full e-flex e-con e-child\" data-id=\"6ec90c4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-342df6f e-con-full e-flex e-con e-child\" data-id=\"342df6f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2bf0060 e-con-full e-flex e-con e-child\" data-id=\"2bf0060\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-794b873 e-con-full e-flex e-con e-child\" data-id=\"794b873\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-5582df2 e-con-full e-flex e-con e-child\" data-id=\"5582df2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bf0aece elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"bf0aece\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\"><span class=\"ygvr4u3o\"><span class=\"ztm74s3x\">About Us<\/span><\/span><\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5c50244 e-con-full e-flex e-con e-child\" data-id=\"5c50244\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-160d734 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"160d734\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"p7usxdko\"><span class=\"leboqcch\">We have a mission to improve contextual data.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c855810 elementor-widget elementor-widget-softlite_dynamic_card_box\" data-id=\"c855810\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"softlite_dynamic_card_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t <div class=\"softlite-dynamic-card-box djyn9r0j\" data-softlite-card-box-link-href=\"\" data-softlite-card-box-link-target=\"\"><p class=\"t6xpq9n3\"><span class=\"eljgk6ti\"><span class=\"eljgk6ti\"><span class=\"d3bpj8dr\"><span class=\"emotzmnz\"><span class=\"gvx4tmtv softlite-dynamic-card-box-text-1\">All sorts of innovative approaches to sensor data processing have been made in the past decade due to the ubiquity of low-cost sensors found in smartphones and Internet-of-Things (IoT) devices. Today, contextual information about users has been used by health and fitness apps despite low accuracy of sensor fusion algorithms, often requiring internet connectivity and electrical infrastructure.<br class=\"wixui-rich-text__text\"> <br class=\"wixui-rich-text__text\"> With<\/span> <\/span><span class=\"ejarcja1\"><span class=\"mu2r6zol softlite-dynamic-card-box-text-2\">Edge ML <\/span><\/span><span class=\"emotzmnz\"><span class=\"softlite-dynamic-card-box-text-3 gvx4tmtv\">we aim to deliver user contextual data at the edge, enabling low-power, low-compute ML pipelines in commercial, industrial, and end-user settings.<\/span><\/span><\/span><\/span><\/span><\/p><\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4fa874a e-con-full e-flex e-con e-child\" data-id=\"4fa874a\" data-element_type=\"container\" data-e-type=\"container\" id=\"home3\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4de4c4c e-con-full e-flex e-con e-child\" data-id=\"4de4c4c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4be4375 e-con-full e-flex e-con e-child\" data-id=\"4be4375\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI on the edge Machine learning solutions for real-time sensor data processing on mobile, wearable, IoT, and edge devices. Edge ML With our Edge ML software suite and framework, we provide computationally efficient, real-time classification of time-series data on low-power devices to generate, log, and deliver actionable events at the edge, to local networks, or [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"plain-container","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/yotta.blue\/index.php?rest_route=\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yotta.blue\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/yotta.blue\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/yotta.blue\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yotta.blue\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15"}],"version-history":[{"count":58,"href":"https:\/\/yotta.blue\/index.php?rest_route=\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":919,"href":"https:\/\/yotta.blue\/index.php?rest_route=\/wp\/v2\/pages\/15\/revisions\/919"}],"wp:attachment":[{"href":"https:\/\/yotta.blue\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}