Super capable agents are now in your enterprise. The challenge is that without ready access to AI-ready data these agents cannot deliver trusted insights or make reliable decisions. AI-ready data means three things: secure access to the right data, to the right context, and a clear understanding of the user intent. The reality is that access control for data is complicated, data itself is distributed, while the context is super fragmented, and user intent remains unique to each business group. Faced with this reality, most agents focus on single platforms and context stores but fail on accuracy as they scale into production. The constant cost of context engineering becomes unscalable. This is an architectural gap, not a model gap. It affects all enterprises.
Our next release of Mantra addresses this AI Infrastructure gap with a new composable agentic analytics stack called AI Insights Fabric. Any agent (or user) can plug into Mantra with questions and get secure real-time access to the right data and context with intent to ensure trusted insights. Mantra can access and analyze across distributed enterprise data without moving it. It brings together fragmented and multi-dimensional context from sources like catalogs, BI tools, human tribal knowledge and user intent to build a dynamic insights context graph. Mantra generates answers and insights validated against ground truth with a Trust Score. Mantra integrates with the existing modern data stack and tools without any changes, and meets the users where they are.
Your agents can now navigate into production with trust and speed. As an example, you can plug Claude (or any other agent, Chat or Copilot or your favorite enterprise agent) into Mantra for secure access to the right data, context, and intent to ensure trusted insights and outcomes. See the attached video for a demonstration.
To wire your agentic enterprise with Mantra, sign up here to explore a PoC.
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