Revefi Introduces Raden The Worlds First AI Data Engineer

Raden augments data engineers with distinguished engineer expertise

REDMOND, Wash.--(BUSINESS WIRE)--Revefi today announced the launch of Raden, the world’s first AI data engineer. Raden augments traditional data engineers with data architecture, system performance, optimization and cost management “distinguished engineer” expertise.

These “distinguished engineer” capabilities are now critical for organizations given the evolving role of the data engineer, which traditionally focused on data pipeline management but has expanded to emphasize cloud optimization, real-time data processing, scalable infrastructure and spend management.

“Organizations increasingly are focused on return on investment of data projects and are now exploring and adopting GenAI and AI, so data spend, performance optimization and the importance of modern data engineers continues to grow,” said Sanjay Agrawal, CEO and co-founder of Revefi. “Yet modern data engineers who deeply understand cloud data warehouse architectures, optimizations and their impact on spend are rare, while enterprises are struggling with the explosive growth in and variety of data, the proliferation of data tools and complexity, and out-of-control data spending. Enter Raden, a comprehensive, zero-touch, zero-data-access, AI data engineer that automates results across the entire data lifecycle.”

Raden augments busy data teams by working as an autopilot and/or copilot to ensure high quality of data, improve operational performance and efficiency, manage data pipeline and optimize organizations’ data spend. Unlike legacy and niche tools that just focus on isolated parts of the data challenge, Raden empowers data teams to move quickly to solve complex problems related to data quality, data observability, and performance, spend and usage management.

Employing Raden vastly improves organizations’ ROI from their data investments, delivering:

Results in five minutes
A 50% reduction in data spend
A 10x improvement in operational efficiency

“Revefi is setting a new standard in the data landscape with the introduction of Raden, the world’s first AI data engineer. Raden is transformative and empowers data teams to transcend traditional roles. In today’s enterprise, where data complexity is skyrocketing and the demand for actionable, timely insights and cost efficiency is at an all-time high, Raden’s ability to automate and optimize across the data lifecycle is a game-changer,” said Stephen Catanzano, senior analyst, data platforms at Enterprise Strategy Group.

The investment community also clearly understands the value that Revefi delivers. In other news today, Revefi announced that it has secured $20 million in a Series A financing from marquee venture firms Icon Ventures, Mayfield, GTM Capital and StepStone Group.

“Everyone wants to be strategic, but current approaches keep data engineers trapped in firefighting mode, grappling with routine, preventable operational and tactical tasks,” said Shashank Gupta, CTO and co-founder of Revefi. “Data engineers need a modern approach to address their expanding roles and drive business success. Raden’s automation-first, zero-touch, no-data-access approach and GenAI and machine learning models enable data teams to be more strategic and deliver the right data at the right time at the right cost to businesses.”

Want to learn more?

About Revefi

Revefi is the creator of Raden, the world’s first AI data engineer. Raden augments data teams with expertise in data architecture, observability, system performance, optimization and cost management. With an automation-first, zero-touch and no-data-access approach, Revefi enables businesses to maximize ROI on their data investments, reducing data spend, driving 10x operational efficiencies and delivering results in just five minutes. Founded in 2021 by data experts and ThoughtSpot co-founders Sanjay Agrawal and Shashank Gupta, Revefi’s GenAI + AI powered platform provides automated solutions for complex data observability, data quality, FinOps and DataOps use cases. For more information, visit revefi.com.

Contacts

Sara Delacruz
PRforRevefi@bospar.com

Girish Bhat
girish@revefi.com

First published on Wed, Sep 4, 2024

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AI data engineer data engineering data architecture data observability data spend cost optimization data quality performance optimization ROI

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