{"id":27954,"date":"2025-07-14T06:13:05","date_gmt":"2025-07-14T06:13:05","guid":{"rendered":"https:\/\/www.hotelsalepage.com\/feed\/cision-pr-newswire\/linqalpha-partners-with-microsoft-via-the-majung-program-to-build-secure-cloud-native-financial-ai-infrastructure\/"},"modified":"2025-07-14T06:13:05","modified_gmt":"2025-07-14T06:13:05","slug":"linqalpha-partners-with-microsoft-via-the-majung-program-to-build-secure-cloud-native-financial-ai-infrastructure-2","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=27954","title":{"rendered":"LinqAlpha Partners with Microsoft via the Majung Program to Build Secure Cloud Native Financial AI Infrastructure"},"content":{"rendered":"

NEW YORK<\/span>, July 14, 2025<\/span> \/PRNewswire\/ — LinqAlpha, a multi-agent AI investment research platform powering workflows at over\u00a0170 financial institutions, including leading investment banks, asset managers, and hedge funds, has been selected to join the\u00a02025 Majung Program, a Microsoft-supported startup initiative co-led by\u00a0South Korea’s Ministry of SMEs and Startups.<\/p>\n

Through this program, LinqAlpha will\u00a0build its platform cloud-natively on Microsoft Azure’s private cloud. This will enhance\u00a0data security,\u00a0deployment flexibility, and\u00a0interoperability\u00a0across enterprise financial environments. The Majung Program provides commercialization funding, Azure cloud credits, technical support, and go-to-market assistance for startups building cloud-native B2B platforms. LinqAlpha’s participation reflects its technical maturity and alignment with institutional-scale AI use cases.<\/p>\n

LinqAlpha’s platform leverages\u00a0generative AI\u00a0and\u00a0multi-agent systems\u00a0to extract, analyze, and synthesize unstructured financial data, including earnings transcripts, regulatory filings, analyst reports, and macroeconomic commentary\u2014empowering faster and more accurate investment decisions. As part of the engagement, LinqAlpha will integrate\u00a0Azure-native services, including\u00a0Azure AI Search\u00a0and\u00a0Azure OpenAI Service, enabling secure, in-environment deployments that meet the compliance and performance needs of financial institutions.<\/p>\n

Suyeol Yun, Principal AI Engineer, and\u00a0Gukyoung Jeong, Systems Architect at LinqAlpha, shared:<\/p>\n

“Through the program we’ve strengthened the resilience, security, and scalability of our infrastructure. We’re excited to deliver trusted and seamless AI-powered research capabilities to our clients across the financial sector.”\u00a0<\/span> <\/p>\n

About LinqAlpha:<\/p>\n

LinqAlpha is a multi-agent system for public market research founded in Boston in 2022 by MIT CS PhDs and former Goldman Sachs bankers. Built on an AI compound system, LinqAlpha helps institutional investors analyze earnings calls, filings, and broker reports. The platform is centered around a comprehensive research management system (RMS), seamlessly integrating research workflows with over 10 finance-specific connectors including SharePoint, Outlook, and other database tools. The company’s AI search engine is powered by an embedding model that ranks #1 on HuggingFace’s MTEB leaderboard for text retrieval. The platform is trusted by over 170 leading investment banks, asset managers, and hedge funds.<\/p>\n

Learn more at: linqalpha.com<\/a><\/p>\n

\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

<\/p>\n

NEW YORK<\/span>, July 14, 2025<\/span> \/PRNewswire\/ — LinqAlpha, a multi-agent AI investment research platform powering workflows at over\u00a0170 financial institutions, including leading investment banks, asset managers, and hedge funds, has been selected to join the\u00a02025 Majung Program, a Microsoft-supported startup initiative co-led by\u00a0South Korea’s Ministry of SMEs and Startups.<\/p>\n

Through this program, LinqAlpha will\u00a0build its platform cloud-natively on Microsoft Azure’s private cloud. This will enhance\u00a0data security,\u00a0deployment flexibility, and\u00a0interoperability\u00a0across enterprise financial environments. The Majung Program provides commercialization funding, Azure cloud credits, technical support, and go-to-market assistance for startups building cloud-native B2B platforms. LinqAlpha’s participation reflects its technical maturity and alignment with institutional-scale AI use cases.<\/p>\n

LinqAlpha’s platform leverages\u00a0generative AI\u00a0and\u00a0multi-agent systems\u00a0to extract, analyze, and synthesize unstructured financial data, including earnings transcripts, regulatory filings, analyst reports, and macroeconomic commentary\u2014empowering faster and more accurate investment decisions. As part of the engagement, LinqAlpha will integrate\u00a0Azure-native services, including\u00a0Azure AI Search\u00a0and\u00a0Azure OpenAI Service, enabling secure, in-environment deployments that meet the compliance and performance needs of financial institutions.<\/p>\n

Suyeol Yun, Principal AI Engineer, and\u00a0Gukyoung Jeong, Systems Architect at LinqAlpha, shared:<\/p>\n

“Through the program we’ve strengthened the resilience, security, and scalability of our infrastructure. We’re excited to deliver trusted and seamless AI-powered research capabilities to our clients across the financial sector.”\u00a0<\/span> <\/p>\n

About LinqAlpha:<\/p>\n

LinqAlpha is a multi-agent system for public market research founded in Boston in 2022 by MIT CS PhDs and former Goldman Sachs bankers. Built on an AI compound system, LinqAlpha helps institutional investors analyze earnings calls, filings, and broker reports. The platform is centered around a comprehensive research management system (RMS), seamlessly integrating research workflows with over 10 finance-specific connectors including SharePoint, Outlook, and other database tools. The company’s AI search engine is powered by an embedding model that ranks #1 on HuggingFace’s MTEB leaderboard for text retrieval. The platform is trusted by over 170 leading investment banks, asset managers, and hedge funds.<\/p>\n

Learn more at: linqalpha.com<\/a><\/p>\n

\u00a0<\/p>\n

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