Enterprise Account Executive

Revefi has launched FinOps, Observability and Token Economics for AI to govern cost, quality and reliability across data, AI and agents. The announcement was made at FinOps X 2026 in San Diego. The platform provides real-time attribution and control of AI spending across providers including OpenAI, Anthropic, Google Gemini and Vertex AI. Revefi caught one Fortune 500 enterprise user incurring $76,000 in unexpected token spend within minutes. The company reports token economics through four lenses: by outcome, by department, wasted and optimised. Founded in 2021 by ThoughtSpot co-founders Sanjay Agrawal and Shashank Gupta, Revefi already helps customers cut cloud data and Snowflake warehouse costs by 30-60%. The company is a 2025 Gartner Cool Vendor and FinOps Foundation member.

Revefi launches FinOps, Observability and Token Economics for AI. SAN DIEGO, June 8, 2026 Revefi today announced general availability of FinOps, Observability and Token Economics for AI to govern cost, quality, and reliability across Data, AI, and Agents. The announcement coincides with FinOps X 2026, in San Diego, June 8 to 10, where Revefi will be exhibiting. On the AI layer, a single user in a Fortune 500 enterprise incurred a $76,000 unexpected token spend for a single AI use case. Revefi caught the above spend for this customer within minutes, and they immediately stopped the unplanned dollar burn. "Today as enterprises are pushing everyone to use AI across the board, we see AI Agents burning billions of tokens within minutes, real risk of running out of annual budget within weeks or even days. Your AI just lit both your AI and your data budget on fire," said Sanjay Agrawal, CEO and co-founder of Revefi. "The model was the easy part, knowing what it cost, whether it worked, and if it was even worth it, is the hard part. That's Token Economics: every token, seen, attributed, and under your control. Because you can't adopt AI safely at scale if you can't measure continuously & can't attribute ROI." Revefi's Token Economics gives enterprises a single, unified layer to see, attribute, and control the true cost of AI. As organizations push LLMs and AI agents into production, the spend sprawl across providers, models, agents, and users is increasing at an unprecedented rate with no way to trace what happened, where it went wrong, or what it cost. Revefi closes that gap: full user-to-agent-to-model attribution, real-time observability, prompt optimization, and automated ROI on every AI action, across OpenAI, Anthropic, Google Gemini, and Vertex AI. The result is safe AI adoption built on the three things that matter most - spend, trust, and control with value in as little as five minutes and zero-touch, read-only setup. Revefi reports Token Economics through four lenses that tie spend to value and ROI instead of raw consumption: By Outcome, By Department, Wasted and Optimized. Revefi attributes spend across the full path a request travels. It starts with the user who issues the request, through per-user cost attribution, outlier detection, prompt analysis and tracing, automatically alerts if it goes in the wrong direction, and triggers workflows for model selection, prompt analysis to balance performance and spend. Proven at the data layer, now governing the full chain Revefi customers have already cut cloud data and Snowflake warehouse costs between 30-70%. Today the platform is running tens of millions of automated monitors for data freshness, quality, spend increases, schema changes, and query performance for enterprise customers. This is the data-layer foundation that trusted Token Economics depends on. About Revefi Revefi is the creator of RADEN, an AI agent designed to help enterprises optimize cost, data operations, data observability, AI observability, and database administration across cloud data platforms, LLMs and Agents. 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 percent reduction in data spend, 10x improvement in operational efficiency, and results in as few as five minutes. Media contact: Adopt the AI Agent for Data Cost Optimization

Revefi launches AI DBA to manage, optimize, and operate cloud data platforms. A F500 Enterprise used the Revefi AI DBA to autonomously manage more than 700 Snowflake warehouses, reducing spend by 50% in less than 48 hours. Revefi today announced the launch of the Revefi AI DBA, an agentic teammate that works alongside data teams to manage, optimize, and operate their cloud data platform. The announcement coincides with Snowflake Summit 2026 in San Francisco, June 1 to 4, where Revefi will be exhibiting at Booth 1410 and demonstrating the AI DBA live. The best AI embodies the human, not the other way around," said Sanjay Agrawal, Co-Founder and CEO of Revefi. "The Revefi AI DBA is built to work the way a great database administrator works" - Sanjay Agrawal As cloud data platforms scale, the operational burden on data teams has scaled with them. Database administrators and platform owners spend most of their time on repetitive, high-toil work: tuning warehouses, chasing slow queries, reviewing access, converting older warehouse generations, and resolving production incidents. Hiring a competent DBA to solve the problem is expensive and slow. Existing tools can detect simple issues but rarely fix them and the underlying data platforms continue to get more complex and difficult to manage. The Revefi AI DBA closes that gap by combining detection, investigation, and autonomous action in a single agentic teammate. Jun 2, 2026 Prev Next 1 of 42,448 "The best AI embodies the human, not the other way around," said Sanjay Agrawal, Co-Founder and CEO of Revefi. "The Revefi AI DBA is built to work the way a great database administrator works: task-oriented, transparent, and accountable. It handles all aspects of a day in the life of a database administrator. It keeps improving the platform without any triggers, asks for approval when needed, assigns tasks to teammates, and accepts work from them. Customers can hire it the way they would hire a person, and it gives their team back the hours they spend on reactive operational work. It operates continuously, allowing teams to improve performance, control costs, and resolve issues around the clock." What the Revefi AI DBA Does The Revefi AI DBA gives a human element to agentic AI: an expert database administrator working around the clock across cloud data platforms, within enterprise process guidelines. Customers assign it work from Slack, Jira, or directly in the Revefi product. It executes, raises pull requests, opens tickets, tracks attribution, reports progress, and loops the team in when needed. The AI DBA handles: - Performance. Query optimization, query rewrites, slow-query investigation, and root-cause analysis. - Cost and FinOps. Continuous spend monitoring with autonomous savings actions. Right-sizing, right scale-out, and right-generation of warehouses. It can make tradeoffs involving Gen 1 to Gen 2 conversions, configuration optimization and adaptive warehouses. - Operations. Warehouse management, configuration changes, provisioning with permissions, continuous cluster tuning, and idle resource reclamation. - Governance. User and role management, access reviews, schema and table changes. Stops in-flight bad actors autonomously. - Agentic workflow. Finds and creates work for itself to keep improving the platform. Asks for approval from team members as needed. Assigns work to others. Accepts work from others via Slack, Jira, or in-product chat. - Organizational memory. Remembers every action taken across the customer's organization, what worked and what did not, and personalizes recommendations over time. "The most powerful thing about an AI DBA is not what it automates, it is what it frees the team to own," said Shashank Gupta, Co-Founder and CTO of Revefi. "When the 3am pages, ticket queues, and performance fires are handled, data teams get to focus on what only humans can do: strategy, trust, architecture, and the judgment calls that move the business." The AI DBA is powered by RADEN, Revefi's underlying agent, which is available on the Snowflake Marketplace. Unlike platform-native agents, Revefi is aligned with the customer's goal of reducing cloud data spend; it carries persistent organizational memory across actions; and it operates across multiple data platforms rather than inside a single vendor's walled garden. [To share your insights with Aithority, please write to [email protected]]