Revefi develops autonomous AI software for managing the cost, reliability, performance and operations of enterprise AI and cloud data platforms. Its RADEN platform provides AI FinOps, AI and agent observability, AI database administration, Data FinOps and data observability. Revefi works across Snowflake, Databricks, Google BigQuery and Amazon Redshift and supports visibility into LLM and agent workloads across OpenAI, Anthropic and Google models. Customers cited by the company include AMD, Verisk, Stanley Black & Decker, Docker, Ingersoll Rand and Cribl. The platform uses metadata and operational telemetry to identify waste, diagnose issues and automate optimization actions.
Revefi offers candidates the chance to work on autonomous AI, FinOps, data observability and cloud infrastructure problems with direct enterprise impact. The company was founded by experienced ThoughtSpot builders and has raised $30.5 million across seed and Series A rounds. Its platform is used by companies including AMD, Verisk, Docker and Stanley Black & Decker and spans Snowflake, Databricks, BigQuery, LLMs and AI agents. Revefi has an engineering center in Bengaluru and is actively hiring for backend and product roles. Current roles emphasize distributed systems, cloud-native architecture, AI, data platforms, autonomy, technical ownership and close collaboration with the founding team.
Cloud Data Platform
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Cloud Data Warehouse
Cloud Data Warehouse
AI Platform
AI Model Platform
AI Model Platform
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Data Transformation
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Containers
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Cloud Infrastructure
Cloud Infrastructure
Cloud Infrastructure
Co-founder and CEO of Revefi and previously a co-founder and engineering leader at ThoughtSpot. Agrawal spent more than a decade at Microsoft and Google working on SQL optimization, self-tuning databases and large-scale data systems. He studied at IIT Kanpur and the University of Wisconsin-Madison.
Co-founder and CTO of Revefi and previously a co-founder and engineering leader at ThoughtSpot. Gupta led automated data-quality work for Meta's exabyte-scale data warehouse and earlier worked on distributed systems and search at Amazon and Yahoo. His expertise spans search, data infrastructure, observability and system architecture.
Co-founder working across Revefi's AI and data platforms. Kalipatnapu has more than a decade of experience building large-scale data and observability systems at technology companies and earned his Computer Science and Engineering degree from IIT Bombay.
Leads engineering and Revefi's Bengaluru innovation center. Verma has more than 20 years of experience building large-scale data and enterprise software systems, including work at Oracle, Yahoo and Informatica, and previously co-founded fintech company FundsTiger.
Senior Vice President focused on go-to-market and enterprise AI and data initiatives. Bhat has more than 20 years of experience across engineering, product and marketing, with prior experience at companies including Splunk, Sumo Logic, Acceldata, MobileIron, Cisco and NetScout.
Revefi
Revefi introduced its Agent Optimizer for Claude Code, which analyzes agent activity, identifies repeated or inefficient work and recommends instructions or scripts that can reduce cost and execution overhead.
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Revefi expanded its AI DBA to Databricks, adding autonomous optimization for jobs, clusters, SQL warehouses, performance, DBU spend, governance and operational workflows.
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Revefi launched capabilities for attributing and controlling AI and agent costs across users, agents and models while monitoring performance, reliability, prompt behavior and token economics.
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Revefi launched an AI DBA designed to autonomously manage and optimize cloud data platforms. The company reported that a Fortune 500 customer reduced spend by 50% across more than 700 Snowflake warehouses in under 48 hours.
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