Karini AI announced its integration as an Amazon Q Index data accessor, enabling AWS customers to build next-generation Agentic AI applications that securely access enterprise data without compromising compliance or governance.
The Amazon Q Index allows enterprises to extend secure access to their business data within Q Business applications. By combining this capability with Karini AI’s advanced agentic AI platform, organizations can develop context-rich Agentic Retrieval-Augmented Generation (RAG) and intelligent automation applications while maintaining strict enterprise security controls.
Solving a Longstanding Enterprise Data Challenge
In many enterprises, critical information is spread across ERP, CRM, ticketing, and document management systems. Traditional AI solutions often require replicating sensitive data into external platforms, creating unnecessary risk and compliance challenges. Karini AI takes a different approach with secure, “data-in-place” orchestration, empowering enterprises to reason, plan, and act on their data directly-without ever moving it outside organizational boundaries.
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“Enterprises need AI that works where their data lives, not platforms that require exporting sensitive information,” said Nitin Wagh, CEO of Karini AI. “Our integration as an Amazon Q index data accessor eliminates replication risk and accelerates and enhances how customers build intelligent, agent-driven solutions.”
Unlocking Secure, Scalable AI Use Cases
With this integration, enterprises can now combine Amazon Q Business’s 23+ prebuilt enterprise connectors with Karini AI’s native knowledge graph to deliver highly secure, scalable AI-driven solutions across multiple business domains.
“Amazon Q Business customers want to extend their data investments to advanced AI use cases without sacrificing security or governance,” said Oliver Myers, Head of Amazon Q Business Go-to-Market at AWS. “Karini AI’s native integration brings this capability, customers can now build agentic AI applications that combine data access with the resilience of AWS infrastructure.”