AI innovators report faster performance, greater reliability, and lower infrastructure costs by switching to Zilliz’s fully managed vector database service.<\/i><\/b><\/p>\n
REDWOOD CITY, Calif.<\/span><\/span>, May 12, 2025<\/span><\/span> \/PRNewswire\/ —\u00a0Zilliz<\/a><\/u>, creator of the world’s most widely adopted open source vector database Milvus<\/a><\/u>, today shared how AI-first companies across industries are delivering faster, more reliable user experiences by adopting Zilliz Cloud<\/a><\/u>. From conversational AI and healthcare intelligence to music generation, education, and AI companions, these companies are unlocking next-level performance with infrastructure purpose-built for vector search.<\/p>\n “As AI applications scale to millions of users, infrastructure becomes a make-or-break factor,” said Chris Churilo<\/span>, VP of Developer Relations and Marketing at Zilliz. “Our customers consistently report sub-10ms latency and fewer outages after switching to Zilliz Cloud \u2014 all while keeping costs low enough to reinvest in innovation, not infrastructure.”<\/p>\n Real-World Results from AI-First Companies<\/b><\/p>\n Organizations implementing\u00a0Zilliz Cloud are experiencing transformative performance improvements that directly impact their AI applications:<\/p>\n CX Genie: 2x Faster Queries with 24\/7 Reliability for AI Chatbots<\/b><\/p>\n Singapore<\/span>-based\u00a0CX Genie doubled query performance after migrating to Zilliz Cloud, reducing latency to just 5\u201310ms across over 1 million embeddings. The team eliminated recurring downtime and improved global service reliability \u2014 critical for its always-on AI-powered customer support.<\/p>\n Beatoven.ai: Accelerated AI Music Generation at Scale<\/b><\/p>\n Beatoven.ai, an AI-powered music creation platform, shortened generation time by 2\u20133 seconds per track after adopting Zilliz Cloud \u2014 improving creative workflows for its 1.5 million+ users.<\/p>\n Ivy.ai: Seamless Scaling for AI in Education<\/b><\/p>\n Ivy.ai powers AI chatbots for higher education and government institutions. As data volumes surged by 200%, Zilliz Cloud enabled them to maintain consistent response times without a single outage.<\/p>\n Dopple.ai: Smarter AI Companions with Better Context Recall<\/b><\/p>\n Dopple Labs uses Zilliz Cloud to store and retrieve long-term memory embeddings for Dopple.ai, its virtual AI companion. By improving context awareness across conversations, Dopple now offers more natural, personalized interactions.<\/p>\n EviMed: Improved Accuracy for Medical AI<\/b><\/p>\n EviMed, a medical AI platform, integrated Zilliz Cloud to manage 350M+ medical knowledge entries. They achieved better search accuracy and faster responses while cutting system costs.<\/p>\n Infrastructure That Accelerates AI Innovation<\/b><\/p>\n As vector search becomes foundational to\u00a0LLMs, AI pipelines and applications, performance at the database layer is emerging as a key competitive advantage.<\/p>\n “Milliseconds saved in vector query time translate directly into more responsive and reliable AI,” added Churilo. “And with reduced operational overhead, our customers can focus on building \u2014 not firefighting.”<\/p>\n The results reported by Zilliz Cloud customers show that database infrastructure is no longer just backend plumbing \u2014 it’s a core driver of AI performance, reliability, and cost-efficiency. As vector embeddings become central to AI workflows, organizations are turning to purpose-built infrastructure like Zilliz Cloud to support real-time applications at scale. The ability to deliver sub-10ms latency, reduce outages, and cut operational costs gives AI teams a powerful edge in a competitive market.<\/p>\n Organizations seeking to enhance the performance and reliability of their AI applications can learn more about Zilliz Cloud at zilliz.com\/cloud<\/a><\/u> or contact sales<\/a><\/u> for more details.<\/p>\n About Zilliz<\/b><\/i><\/p>\n Zilliz is an American SaaS company that builds next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS<\/a><\/u>, GCP, and Azure, and is available across more than 20 countries and regions.<\/i><\/p>\n Headquartered in Redwood Shores, California<\/span>, Zilliz is backed by leading investors including Aramco’s Prosperity7 Ventures, Temasek’s Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.<\/i><\/p>","protected":false},"excerpt":{"rendered":" <\/p>\n AI innovators report faster performance, greater reliability, and lower infrastructure costs by switching to Zilliz’s fully managed vector database service.<\/i><\/b><\/p>\n REDWOOD CITY, Calif.<\/span><\/span>, May 12, 2025<\/span><\/span> \/PRNewswire\/ —\u00a0Zilliz<\/a><\/u>, creator of the world’s most widely adopted open source vector database Milvus<\/a><\/u>, today shared how AI-first companies across industries are delivering faster, more reliable user experiences by adopting Zilliz Cloud<\/a><\/u>. From conversational AI and healthcare intelligence to music generation, education, and AI companions, these companies are unlocking next-level performance with infrastructure purpose-built for vector search.<\/p>\n “As AI applications scale to millions of users, infrastructure becomes a make-or-break factor,” said Chris Churilo<\/span>, VP of Developer Relations and Marketing at Zilliz. “Our customers consistently report sub-10ms latency and fewer outages after switching to Zilliz Cloud \u2014 all while keeping costs low enough to reinvest in innovation, not infrastructure.”<\/p>\n Real-World Results from AI-First Companies<\/b><\/p>\n Organizations implementing\u00a0Zilliz Cloud are experiencing transformative performance improvements that directly impact their AI applications:<\/p>\n CX Genie: 2x Faster Queries with 24\/7 Reliability for AI Chatbots<\/b><\/p>\n Singapore<\/span>-based\u00a0CX Genie doubled query performance after migrating to Zilliz Cloud, reducing latency to just 5\u201310ms across over 1 million embeddings. The team eliminated recurring downtime and improved global service reliability \u2014 critical for its always-on AI-powered customer support.<\/p>\n Beatoven.ai: Accelerated AI Music Generation at Scale<\/b><\/p>\n Beatoven.ai, an AI-powered music creation platform, shortened generation time by 2\u20133 seconds per track after adopting Zilliz Cloud \u2014 improving creative workflows for its 1.5 million+ users.<\/p>\n Ivy.ai: Seamless Scaling for AI in Education<\/b><\/p>\n Ivy.ai powers AI chatbots for higher education and government institutions. As data volumes surged by 200%, Zilliz Cloud enabled them to maintain consistent response times without a single outage.<\/p>\n Dopple.ai: Smarter AI Companions with Better Context Recall<\/b><\/p>\n Dopple Labs uses Zilliz Cloud to store and retrieve long-term memory embeddings for Dopple.ai, its virtual AI companion. By improving context awareness across conversations, Dopple now offers more natural, personalized interactions.<\/p>\n EviMed: Improved Accuracy for Medical AI<\/b><\/p>\n EviMed, a medical AI platform, integrated Zilliz Cloud to manage 350M+ medical knowledge entries. They achieved better search accuracy and faster responses while cutting system costs.<\/p>\n Infrastructure That Accelerates AI Innovation<\/b><\/p>\n As vector search becomes foundational to\u00a0LLMs, AI pipelines and applications, performance at the database layer is emerging as a key competitive advantage.<\/p>\n “Milliseconds saved in vector query time translate directly into more responsive and reliable AI,” added Churilo. “And with reduced operational overhead, our customers can focus on building \u2014 not firefighting.”<\/p>\n The results reported by Zilliz Cloud customers show that database infrastructure is no longer just backend plumbing \u2014 it’s a core driver of AI performance, reliability, and cost-efficiency. As vector embeddings become central to AI workflows, organizations are turning to purpose-built infrastructure like Zilliz Cloud to support real-time applications at scale. The ability to deliver sub-10ms latency, reduce outages, and cut operational costs gives AI teams a powerful edge in a competitive market.<\/p>\n Organizations seeking to enhance the performance and reliability of their AI applications can learn more about Zilliz Cloud at zilliz.com\/cloud<\/a><\/u> or contact sales<\/a><\/u> for more details.<\/p>\n About Zilliz<\/b><\/i><\/p>\n Zilliz is an American SaaS company that builds next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS<\/a><\/u>, GCP, and Azure, and is available across more than 20 countries and regions.<\/i><\/p>\n Headquartered in Redwood Shores, California<\/span>, Zilliz is backed by leading investors including Aramco’s Prosperity7 Ventures, Temasek’s Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.<\/i><\/p>\n <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-22730","post","type-post","status-publish","format-standard","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/22730","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=22730"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/22730\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=22730"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=22730"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=22730"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
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