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  • AI Cloud

Zilliz Cloud Drives Enterprise AI Agent Revolution


Zilliz Cloud Drives Enterprise AI Agent Revolution
  • Source: Source Logo
  • |
  • August 25, 2025

Zilliz, the company behind the open-source Milvus vector database, announced on August 21, 2025, that its Zilliz Cloud is enabling leading enterprises to deploy AI agents at scale, revolutionizing industries such as real estate and financial services. Companies like Verbaflo.ai and Rexera are leveraging Zilliz Cloud to automate complex workflows while delivering personalized, human-like customer experiences.

Quick Intel

  • Zilliz Cloud powers AI agents for enterprise automation in real estate and finance.
  • Verbaflo.ai uses Zilliz for 24/7 customer inquiries and property management.
  • Rexera processes 10,000+ tasks daily, serving 350+ real estate firms.
  • Zilliz Cloud supports contextual understanding and conversation continuity.
  • Built on open-source Milvus, available on AWS, GCP, and Azure.
  • Backed by investors like Aramco’s Prosperity7 and Temasek’s Pavilion Capital.

AI Agents Transforming Business Operations

Zilliz Cloud is a critical infrastructure for enterprises moving beyond basic chatbots to sophisticated AI agents. Verbaflo.ai has revolutionized real estate by deploying AI agents that handle customer inquiries, property management, and communications across voice, chat, and email channels 24/7. “Zilliz Cloud has become a strategic enabler for our vision of transforming conversational AI across industries,” said Rachit Jindal, Senior AI Engineer at Verbaflo.ai.

Rexera, another leader in AI, uses Zilliz Cloud to streamline complex real estate closing processes, processing over 10,000 tasks daily and millions of pages monthly for more than 350 real estate firms. By leveraging Amazon Bedrock and Zilliz Cloud’s hybrid search capabilities, Rexera achieved a 40% accuracy lift and 50% cost reduction compared to previous solutions like Elasticsearch.

Zilliz Cloud: The Backbone of Intelligent Automation

Zilliz Cloud, built on the open-source Milvus vector database, provides a scalable, high-performance foundation for AI agents, enabling rapid context retrieval and conversation continuity. Its hybrid search, combining vector similarity and full-text search, delivers results in milliseconds, supporting enterprise-grade deployments across AWS, GCP, and Azure in over 20 countries. “As enterprises move beyond simple chatbots to sophisticated AI agents, Zilliz Cloud provides the vector database foundation,” ensuring speed and reliability.

Industry Impact and Scalability

The AI agent market is experiencing explosive growth, driven by the need for automation that maintains personalized customer experiences. Zilliz Cloud’s ability to power conversational AI agents that understand context and engage naturally positions it as a key enabler for industries like real estate and financial services. Rexera’s integration with Amazon Bedrock and LangChain tools further demonstrates Zilliz Cloud’s role in simplifying infrastructure and enhancing performance, reducing latency by 30% compared to alternatives.

Global Reach and Recognition

Headquartered in Redwood Shores, California, Zilliz is backed by prominent investors, including Aramco’s Prosperity7 Ventures and Temasek’s Pavilion Capital, reinforcing its global leadership in vector database technologies. Its fully managed, multi-cloud service supports organizations in unlocking the value of unstructured data for AI applications.

Zilliz Cloud’s role in powering enterprise AI agents marks a significant step in intelligent automation. By enabling companies like Verbaflo.ai and Rexera to transform real estate and financial services, Zilliz is driving the future of scalable, context-aware AI solutions across industries.

 

About Zilliz

Zilliz is a US-based global leader building next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI applications. 

  • Zilliz CloudAI AgentsVector DatabaseFinancial ServicesIntelligent Automation
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