{"id":478,"date":"2022-06-14T16:56:00","date_gmt":"2022-06-14T16:56:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/?p=478"},"modified":"2025-06-20T10:07:17","modified_gmt":"2025-06-20T18:07:17","slug":"benefits-cloud-native-on-azure","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/benefits-cloud-native-on-azure\/","title":{"rendered":"#LaunchWithAI \u2013 Benefits of being cloud-native on Azure"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">In the initial stages of launching <a href=\"https:\/\/zammo.ai\/\" target=\"_blank\" rel=\"noopener\">Zammo.ai<\/a>, CEO and founder Alex Farr and chief engineer Guy Tonye faced a familiar problem. The team had exclusive access to an impressive propriety technology to power a revolutionary conversational AI engine, but existing cloud platforms like Google, AWS, and Microsoft were also rapidly advancing their AI. A classic tech conundrum.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In assessing the opportunities and challenges, Farr questioned the long-term defensibility of the advantage if they built the platform in-house. <strong>\u201cEven with solid differentiators like voice-first architecture that competitors would not be able to match,\u201d Farr explained, \u201cI decided to move forward with fully cloud native,\u201d<\/strong> as in building Zammo\u2019s conversational AI solution on an existing cloud platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Having decided to build on the cloud, the next key decision was selecting the cloud. As chief engineer, Tonye had initially planned to build in the Google Cloud Platform, given his prior knowledge and experience with those services. <strong>However, after comparing it with Azure, he found that Azure performed better, across a range of evaluation criteria, for their ambitious SaaS product vision<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Born in Cameroon, educated in France and living in Toronto, Tonye was already building one-off voice-first conversational experiences for top brands. <strong>\u201cMy passion for voice technology started with being born into a tribe with very low literacy,\u201d<\/strong> Tonye shared. His personal vision is to \u201cglobally democratize voice AI to expand everyone\u2019s access to information.\u201d Since making the decision to build on Azure in 2019, Guy has been able to leverage Azure\u2019s AI, from conversational to language, to help scale toward that vision faster than he\u2019d imagined.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The full picture<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Farr and Tonye knew that to succeed they had to deliver a superior solution in this crowded market, which required being better at both speed and user experience:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Speed<\/strong>. Their solution needed to perform with minimal latency and generate production-ready proofs-of-concept (POCs) to new customers within 24 hours for fast go-to market.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>User experience<\/strong>. The voice-first, omni-channel experience needed to provide the end user a consistent experience delivering the very best natural language processing across many languages, with unified analytics, and across many channels: through text, voice, or digital-voice assistants like Google Assistant, and Amazon Alexa.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Zammo\u2019s platform needed:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Broad API integration<\/strong> with SaaS platforms like ServiceNow, Salesforce, Cisco, Genesys, Avaya, Zendesk and others<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Ease of use without requiring specialist developer skills<\/strong> to create, deploy and update conversational experiences<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Scalability<\/strong> for composite AI use cases, which combine conversational AI with other AI services, including Azure Cognitive Search, Intelligent Recommendations, Personalizer, Document Translation and more<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Building an in-house solution to achieve all of this would have taken several years. Zammo discovered that Microsoft\u2019s applied AI services would help build the product while prioritizing these needs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tonye said, \u201cMany enterprise SaaS startups are simply unaware that starting cloud native can address their unique and specific needs. Building in-house may seem to offer more control, but it can also add a great deal of time and expense. There are also hidden costs to in-house development. For example, if startups can\u2019t respond nimbly to market demands, such as the need for omnichannel availability in conversational AI, they may find that the market takes off without them.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How I built this?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Connecting Azure Language Services, Speech Services, Text Analytics, QnA Maker and Azure Bot Framework Composer, Zammo created their architecture off ready-to-deploy and customizable AI models. Reference architecture below:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"596\" src=\"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/wp-content\/uploads\/2022\/06\/Zammo.ai-architecture-02-1024x596.png\" alt=\"Zammo.ai architecture\" class=\"wp-image-480\" srcset=\"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/wp-content\/uploads\/2022\/06\/Zammo.ai-architecture-02-1024x596.png 1024w, https:\/\/www.microsoft.com\/en-us\/startups\/blog\/wp-content\/uploads\/2022\/06\/Zammo.ai-architecture-02-300x174.png 300w, https:\/\/www.microsoft.com\/en-us\/startups\/blog\/wp-content\/uploads\/2022\/06\/Zammo.ai-architecture-02-768x447.png 768w, https:\/\/www.microsoft.com\/en-us\/startups\/blog\/wp-content\/uploads\/2022\/06\/Zammo.ai-architecture-02.png 1238w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Fig. 1: Zammo.ai architecture, built from off-the-shelf Azure Cognitive Services components to get up to speed quickly<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">The final tally?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Zammo\u2019s investors are taking note of the capital efficiency resulting from leveraging Azure AI as well as the extensive support from Microsoft engineering, sales and marketing. <strong>Zammo investor and advisor Kevin McQuillan is a venture capitalist<\/strong> who has been selected five times as a Forbes Midas List VC and has been involved with 26 IPOs. \u201cAcross all the companies I have invested in and advised over 30 years as a VC, Zammo.ai has shown one of the most-efficient capital burns that I have ever seen,\u201d McQuillan said.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Getting to market fast is better for business\u2026 and sometimes it\u2019s better for the world, too. If you&#8217;re already part of Microsoft for Startups Founders Hub, <a href=\"https:\/\/aka.ms\/LaunchWithLanguageAI\" target=\"_blank\" rel=\"noopener\">click here to get started with Conversational AI services<\/a> in minutes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the initial stages of launching Zammo.ai, CEO and founder Alex Farr and chief engineer Guy Tonye faced a familiar problem. The team had exclusive access to an impressive propriety technology to power a revolutionary conversational AI engine, but existing cloud platforms like Google, AWS, and Microsoft were also rapidly advancing their AI.<\/p>\n","protected":false},"author":20,"featured_media":805,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","ms-ems-related-posts":[478,71,270],"footnotes":""},"post_tag":[],"content-type":[201],"job-role":[],"topic":[737],"coauthors":[490],"class_list":["post-478","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","content-type-founder-advice","topic-launching-with-azure"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>#LaunchWithAI \u2013 Benefits of being cloud-native on Azure - Microsoft for Startups Blog<\/title>\n<meta name=\"description\" content=\"\u201cMany enterprise SaaS startups are unaware that starting cloud native can address their unique needs.&quot;\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/benefits-cloud-native-on-azure\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"#LaunchWithAI \u2013 Benefits of being cloud-native on Azure\" \/>\n<meta property=\"og:description\" content=\"Building in-house may seem to offer more control, but it can also add a great deal of time and expense. 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