{"id":906473,"date":"2025-11-05T21:26:22","date_gmt":"2025-11-06T02:26:22","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/cwan-reports-800-ai-agents-now-available-for-deployment-across-10-trillion-in-client-assets\/"},"modified":"2025-11-05T21:26:22","modified_gmt":"2025-11-06T02:26:22","slug":"cwan-reports-800-ai-agents-now-available-for-deployment-across-10-trillion-in-client-assets","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/cwan-reports-800-ai-agents-now-available-for-deployment-across-10-trillion-in-client-assets\/","title":{"rendered":"CWAN Reports 800+ AI Agents Now Available for Deployment Across $10 Trillion in Client Assets"},"content":{"rendered":"

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CWAN Reports 800+ AI Agents Now Available for Deployment Across $10 Trillion in Client Assets<\/b><\/p>\n

Global institutions deploy CWAN GenAI agents that can scale to millions of daily tasks across reconciliation, reporting, and portfolio management<\/b><\/p>\n

BOISE, Idaho & CHICAGO & NEW YORK & LONDON & HONG KONG–(BUSINESS WIRE<\/a>)–Clearwater Analytics<\/a> (NYSE: CWAN), the most comprehensive technology platform for investment management, today announced the global deployment of CWAN GenAI<\/a>, a newly-launched, embedded generative AI platform that can be deployed to transform investment management, risk management, reporting and operations across more than $10 trillion in institutional assets.\n<\/p>\n

This press release features multimedia. View the full release here: https:\/\/www.businesswire.com\/news\/home\/20251105092732\/en\/<\/a><\/p>\n

\nWhat sets CWAN GenAI apart from the experimental AI tools flooding the market is its production-ready integration. Unlike copilots or chat tools layered onto legacy systems, CWAN GenAI is fully integrated and deployed into production on CWAN\u2019s front-to-back platform, enabling clients to work alongside AI as collaborative partners in their investment operations. The platform currently supports 800+ AI agents created by CWAN clients and internal teams, plus 20 highly trained domain-specific agents. These agents work in tandem with investment professionals, automating data-intensive tasks and augmenting human expertise across reconciliation, reporting, portfolio analysis, and client communications.\n<\/p>\n

\n\u201cWe’re witnessing the largest operational transformation in investment management since electronic trading,\u201d said Sandeep Sahai, CEO at CWAN. \u201cWhile the industry debates AI\u2019s potential, our clients are already operating with autonomous intelligence that processes more data in a day than traditional systems handle in months. This is about fundamentally reimagining how institutional investment operations function in real-time.\u201d\n<\/p>\n

\n\u201cThe industry has been waiting for AI that can handle the complexity and scale of institutional operations,\u201d said Souvik Das, Chief Technology Officer at CWAN. \u201cWe\u2019ve engineered AI agents that can autonomously execute millions of tasks daily while maintaining the precision and auditability that institutions require. Our platform transforms operational efficiency, accelerates decision-making, and gives institutions confidence in leveraging AI across investment portfolios at enterprise scale.\u201d\n<\/p>\n

\n\u201cCWAN\u2019s agentic workflow architecture, built on AWS, demonstrates how modern investment platforms can scale while maintaining institutional-grade security and compliance standards,\u201d said Brian Cassin, Capital Markets Leader at AWS. \u201cBy enabling real-time data processing, low-latency model orchestration, and encrypted model execution at institutional scale, CWAN can compress their data cycles (from 30 days to 24 hours), allowing their expanded customer base to identify issues and make decisions with speed and confidence.\u201d\n<\/p>\n

AI That\u2019s Already Changing the Industry<\/b><\/p>\n

\nThe proof lies in the performance metrics emerging from CWAN\u2019s client base, where CWAN GenAI is delivering measurable performance improvements:\n<\/p>\n