Sanjay Agrawal Email & Phone Number

Sanjay Agrawal is a Cofounder & CEO at Revefi, Inc based in Sammamish, Washington, United States, North America. Agentic AI for Data Spend Optimization to get customers to maximize ROI of their data investment i.e. save them both time & money. At Revefi, we built both "continuous spend optimization" and "self-healing", thus automatically balancing spend and performance. The key to healthy data adoption. Checkout how a Fortune 1000 enterprise using 60% reduction in warehouse spend when usage went up by 50% during the same time, leading to more than 3x reduction in spend per query, key KPI for healthy data adoption. And how another one saved millions of dollars from their renewal within months, power when data teams are paired with the right product. At Revefi we democratized the expertise of a "distinguished engineer", make this expertise available 24x7, at the fingertips of every data team => maximize ROI of their data investment. With world renowned enterprises like AMD, Stanley Black & Decker, Verisk, other fortune 500 companies on Revefi, our customers are getting the following outcomes with ZERO effort on their side: - 50% reduction in data warehouse spend, customers cutting/repurposing multi million dollars spend - 10x boost in data operational efficiency, customers onboarding otherwise deprioritized data products Empowering them with the right strategy around which cloud data warehouse to use, renewals, AI spend and adoption. - Results in 5 minutes How? Revefi's AI Agent augments your data teams with skills of: - AI Data Engineer - automates solving data quality and observability - AI DBA/Database Operations - automates warehouse management, continuous spend optimization - AI Performance Engineer - automates performance debugging, optimization - AI FinOps - budget planning, automated actions to attribute spend to users, business units Ingredients: - At ThoughtSpot we built the world's fastest distributed in-memory ACID compliant data warehouse, (design point ~100 nanoseconds per row), no preprocessing, sub-second responses on billions of rows. - At Meta, Shashank led the area of automated data quality. Scale of 1.5M tables, 10K+ data practitioners). -Seminal work on self-tuning databases, automated SQL performance management that shaped database industry and is foundational to resource optimization