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Revefi
A zero-touch copilot for data quality, spend, performance and usage
About Revefi
Revefi is a cutting-edge startup specializing in data operations and observability for cloud enterprises. The company offers a comprehensive platform designed to help businesses manage their data quality, spending, performance, and usage with minimal manual intervention. Essentially, Revefi acts as an automated assistant for data management, making it easier for companies to access the right data at the right time and at the right cost.
Revefi primarily serves large-scale enterprises that rely heavily on cloud data platforms such as Snowflake, BigQuery, and Redshift. These clients often operate in sectors where data-driven decision-making is crucial, such as finance, healthcare, and technology. By integrating with popular business intelligence tools like Tableau and ThoughtSpot, as well as communication platforms like Slack and Microsoft Teams, Revefi ensures seamless data operations across various business functions.
The market for data observability and monitoring is growing rapidly, driven by the increasing complexity of data ecosystems and the need for real-time insights. Revefi positions itself as a leader in this space by offering a "zero-touch" setup, meaning clients can get started with minimal effort. This ease of use is a significant selling point, especially for enterprises looking to reduce operational disruptions and improve efficiency.
Revefi's business model is subscription-based, allowing clients to pay for the services they use on a recurring basis. This model provides a steady revenue stream and aligns with the ongoing value that the platform delivers. The company makes money by helping clients optimize their data operations, which in turn leads to cost savings and performance improvements. For example, clients have reported reducing their cloud data platform spend by up to 30% and increasing data usage by 35%, all while avoiding major operational issues.
In summary, Revefi is revolutionizing data operations for cloud enterprises by providing a user-friendly, automated platform that enhances data quality, reduces costs, and improves performance.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2021
- Headquarters
- Redmond, United States
- Employees
- 38
- Open positions
- None listed
- Dealroom signal
- 84.6/100
- Industry
- Enterprise Software
- Sector
- AI, Core AI, Generative AI, MLops, genAI Operation Layer, AI Data Preparation and Generation
- Technology
- Artificial Intelligence, Big Data, Machine Learning
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES A✓Equity / VC | Sep 2024 | $20M | $80M | Icon Ventures · Mayfield · StepStone Group · GTM Capital | ↗ |
| SEED✓Equity / VC | Sep 2023 | $11M | $42M | Ajeet Singh · Neythri Futures Fund · Navin Chaddha · GTMFund | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Revefi is 14K monthly website visits, up 52.2% over the last three months. Revefi's team grew 8.6% over the past year.
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed4 investors entered at this stage
Navin Chaddha
Ajeet Singh
Neythri Futures Fund
GTMFund
Series A4 investors entered at this stage
Icon Ventures
Mayfield
StepStone Group
GTM Capital
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Revefi on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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