{"id":15,"date":"2022-09-17T17:27:47","date_gmt":"2022-09-17T17:27:47","guid":{"rendered":"http:\/\/rtat.ai\/?page_id=15"},"modified":"2022-10-03T20:46:07","modified_gmt":"2022-10-03T20:46:07","slug":"about","status":"publish","type":"page","link":"https:\/\/rtat.ai\/?page_id=15","title":{"rendered":"About"},"content":{"rendered":"\n
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About RTAT<\/h2>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
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Our Story<\/h3>\n\n\n\n

We help reduce carbon footprint but not at the cost of fuel efficiency. Also, we optimize combustion efficiency and performance of an engine or equipment by optimizing fuel injection along with fuel additives<\/p>\n\n\n\n

In addition, RTAT is involved in developing AI\/ML based tool to dose one or more fuel additives into fuel line to achieve optimization of fuel combustion.<\/p>\n\n\n\n

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FUELSPEC : The heart of RTAT<\/h3>\n\n\n\n

Fuelspec 114-05 is Patented Fuel borne catalyst does more complete combustion. It helps in uniform burning of hydrocarbon hence FE increases, soot reduces and NOx reduces.<\/p>\n\n\n\n

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About FUELSPEC<\/a><\/div>\n<\/div>\n\n\n\n
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RTAT Insights<\/h2>\n\n\n\n
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\u00a0World\u2019s 1st smart fuel additive dosing AI\/ML tool, for smart combustion improvement & emission reduction technology\u00a0in IC engine.\u00a0<\/strong><\/h3>\n\n\n\n

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Proper combustion in IC engine also depends upon quality & quantity of fuel injected in combustion chamber.\u00a0In this tech – Dosage levels of additive is not pre-defined for the particular additive.\u00a0<\/strong><\/h3>\n\n\n\n
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This\u00a0tool with help of AI\/ML programming will ensure most optimum burning of fuel by injecting just adequate catalyst (Fuel spec) at right time in the combustion chamber, based on the real time updates received from ECU.<\/strong><\/h3>\n\n\n\n
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Our Team :<\/h2>\n\n\n\n
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RTAT Insights Our Team :<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"on","neve_meta_content_width":100,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"on"},"_links":{"self":[{"href":"https:\/\/rtat.ai\/index.php?rest_route=\/wp\/v2\/pages\/15"}],"collection":[{"href":"https:\/\/rtat.ai\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/rtat.ai\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/rtat.ai\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rtat.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15"}],"version-history":[{"count":44,"href":"https:\/\/rtat.ai\/index.php?rest_route=\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":280,"href":"https:\/\/rtat.ai\/index.php?rest_route=\/wp\/v2\/pages\/15\/revisions\/280"}],"wp:attachment":[{"href":"https:\/\/rtat.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}