{"id":46335,"date":"2026-07-29T01:40:29","date_gmt":"2026-07-28T17:40:29","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/mapex-ai-expands-government-and-international-geospatial-projects\/"},"modified":"2026-07-29T11:09:00","modified_gmt":"2026-07-29T03:09:00","slug":"mapex-ai-expands-government-and-international-geospatial-projects","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/mapex-ai-expands-government-and-international-geospatial-projects\/","title":{"rendered":"Mapex AI Expands Government and International Geospatial Projects"},"content":{"rendered":"<p>Mapex AI Private Limited, a geospatial technology company, had expanded its operations internationally by delivering geospatial solutions that processed spatial data for analysis. The Company had developed expertise in delivering GIS-based Master Planning, Land Information Systems, Property Tax Solutions, Utility Mapping, Digital Twins, Navigation, High-Precision Surveys, Enterprise GIS and Geospatial Data Infrastructure to support India&#8217;s digital governance and infrastructure programmes.<\/p>\n<p>In the past year, Mapex AI had been awarded several large-scale government projects across India, reflecting its involvement in geospatial projects. The Company had supported emergency response systems under the Dial 112 initiative through geospatial technologies that had improved situational awareness and operational efficiency. Under the Government of India&#8217;s AMRUT 2.0 Mission, Mapex AI had deployed drone technologies to capture high-resolution aerial imagery and develop three-dimensional (3D) urban geospatial models for planning purposes.<\/p>\n<p>Mapex AI had also supported state governments under the Digital India Land Records Modernization Programme (DILRMP) by deploying AI-powered geospatial surveys for land resource management. These solutions had helped modernize land administration, improve data accuracy, and support transparency in governance through spatial intelligence.<\/p>\n<p>Expanding beyond India, Mapex AI had delivered AI-powered geospatial services to international partners in Australia and Taiwan, supporting the creation of high-definition GIS maps through 360-degree imagery capture and spatial data processing. The Company had further expanded its national footprint through empanelment with government organizations, including State Space Application Centres, State Development Corporations, and Public Sector Undertakings (PSUs), indicating its eligibility to undertake large-scale geospatial, surveying, mapping, drone, and enterprise GIS projects across multiple sectors.<\/p>\n<p>Commenting on the Company&#8217;s growth, <strong>Co-Founder &amp; CEO\u00a0<\/strong><strong>Surendra Nath Das<\/strong> had said: &#8220;Geospatial intelligence is becoming the foundation of smarter governance and sustainable infrastructure development. At Mapex AI, we are committed to delivering innovative, technology-driven solutions that empower governments and enterprises to make faster, more informed decisions. As India accelerates its digital transformation journey, we remain focused on developing scalable geospatial platforms that create lasting value for governments, businesses, and citizens while contributing to sustainable economic growth.&#8221;<\/p>\n<p>As part of its operations, Mapex AI has invested in Artificial Intelligence (AI), automation, cloud computing, drone technologies, remote sensing and geospatial intelligence to develop geospatial solutions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mapex AI Private Limited, a geospatial technology company, had expanded its operations internationally by delivering geospatial solutions that processed spatial data for analysis. The Company had developed expertise in delivering GIS-based Master Planning, Land Information Systems, Property Tax Solutions, Utility Mapping, Digital Twins, Navigation, High-Precision Surveys, Enterprise GIS and Geospatial Data Infrastructure to support India&#8217;s [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":46339,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[130,131,9841,20],"class_list":["post-46335","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-artificial-intelligence","tag-geo","tag-mapex","tag-satellite"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/46335"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=46335"}],"version-history":[{"count":2,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/46335\/revisions"}],"predecessor-version":[{"id":46340,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/46335\/revisions\/46340"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media\/46339"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=46335"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=46335"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=46335"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}