New capabilities give data, AI, and engineering teams cost attribution, benchmarking, traceability, and integration across LLMs and agents.
REDMOND, WA, UNITED STATES, March 9, 2026 /EINPresswire.com/ — Revefi today announced AI Observability and Agentic Observability, new capabilities that extend its platform to give enterprises greater visibility into the performance, cost, and reliability of LLM and AI agent deployments. The announcement coincides with the Gartner 2026 Data & Analytics Summit in Orlando, March 9–11, where Revefi will be exhibiting at Booth 206.
Why This Matters?
The growing complexity of enterprise AI stacks has made observability a top priority for technology leaders. As organizations rapidly deploy AI agents and large language models into production workflows, they face a growing blind spot: the inability to trace what happened, where it went wrong, or what it cost. Revefi’s new capabilities address this directly, providing a unified observability layer across OpenAI, Anthropic’s Claude, Google Gemini, and Google Vertex AI deployments.
“Enterprises are running dozens of AI agents and making thousands of model calls a day, but most still lack clear visibility into agent behavior, cost, and failure points,” said Sanjay Agrawal, Co-Founder and CEO of Revefi. “We built AI Observability and Agentic Observability to give data, AI, and engineering teams the visibility and actionable insight they need to manage AI infrastructure with confidence. Revefi helps enterprises move AI initiatives from experimentation to production by unifying data and AI operations.”
Full Observability Across LLMs and Agents
Revefi’s AI Observability delivers benchmarking across models including GPT, Claude, and Gemini, along with throughput metrics in tokens per second and failure rate tracking across providers and time windows. Searchable, filterable activity logs capture prompts and responses, helping teams investigate failures, latency spikes, and cost anomalies.
Revefi’s Agentic Observability provides attribution from user interaction to agent execution to model response, including latency, volume, prompts, and responses across multi-model workflows. This helps teams monitor both simple and complex AI deployments, making each step easier to inspect, troubleshoot, and audit.
Availability
AI Observability and Agentic Observability are available now in preview. Supported platforms include OpenAI, Anthropic’s Claude, Google Gemini, and Google Vertex AI.
To request a demo, visit revefi.com.
Attending the Gartner 2026 Data & Analytics Summit? Meet the Revefi team at Booth 206 (March 9–11, Orlando) for a live demo of AI and Agentic Observability in action.
Trusted by Leading Enterprises
Revefi’s platform is already trusted by enterprises including AMD, Verisk, Stanley Black & Decker, Ocean Spray, Ingersoll Rand, and Cribl.
About Revefi
Revefi is the creator of RADEN, an AI agent designed to help enterprises optimize cost, data operations, data observability, and AI observability. Founded in 2021 by data experts and ThoughtSpot co-founders Sanjay Agrawal and Shashank Gupta, Revefi’s AI and ML-powered platform automates complex data and AI use cases, delivering up to 60% reduction in data spend, 10x improvement in operational efficiency, and results in as few as five minutes.
Girish Bhat
Revefi
girish@revefi.com
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