Numbers Station Labs releases Meadow—the simplest agentic framework built for complete data workflows.

We envision a data stack powered by AI, centered on the user.

With a decade of experience in machine learning research, we are committed to unraveling the mysteries of data and leveraging cutting-edge technology to democratize access to powerful insights in minutes instead of hours.

Chris Aberger

CEO / CO-FOUNDER

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Ines Chami

CHIEF SCIENTIST / CO-FOUNDER

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Sen Wu

CHIEF ARCHITECT / CO-FOUNDER

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Chris Ré

CO-FOUNDER

MEET THE MAKERS

Born at Stanford,
built for data.

The founding team — Chris Aberger, Ines Chami, and Sen Wu — met during their PhDs in AI and Data Systems under the mentorship of co-founder Chris Re in the Stanford AI lab where they coined the term “foundation model”.

 
Our founders authored the first paper applying AI to data problems, and the convergence of their paths led to the birth of Numbers Station and the collective vision of leveraging AI to redefine data systems.

LED BY EXCELLENCE

Forged with data veterans.

Our team has extensive experience founding and building category defining companies in data like Alation and ThoughtSpot.

Venky Ganti

PRODUCT & ENGINEERING

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Doug Bordonaro

GTM

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TRUST AND INTEGRITY

Our culture.

Based primarily in Menlo Park and Seattle with team members around the world, our culture’s foundation is built on trust, collaboration, and continuous learning.

 
By embracing these values, we create a workplace where fun, confidence, and ambition lead to meaningful impact for data analytics.

BUILT BY THE BEST

Our team.

Meet the innovative minds behind our mission: a diverse team of experts dedicated to revolutionizing the way the world interacts with data.

Alicia Kusnowo

GTM

Chao Li

DESIGN

David Kucher

ENGINEERING

Laurel Orr

ENGINEERING

Luke Hsiao

ENGINEERING

Maureen Daum

ENGINEERING

Nicholas Chiang

ENGINEERING

Meghan Brill

OPERATIONS & MARKETING

Peng Xu

ENGINEERING

Travis Chambers

ENGINEERING

Tywen Kelly

ENGINEERING

Vishal Motwani

PRODUCT

Vivek Raghuram

ENGINEERING

Xiao Ling

ENGINEERING

Powered by multi-agent design.

Numbers Station makes data accessible to everyone by using nuanced, data-based models, 

enabling refined answers and effortless handling of complex queries.

GUIDANCE

Our board.

Diego Oppenheimer

BOARD MEMBER

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Tim Porter

BOARD MEMBER

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Scott Beechuk

BOARD OBSERVER

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Backed by.

“For the first time, we can empower data analysts with collaborative assistants that follow the nuanced lead of a human at the keyboard.”

Media

In the News

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TechCrunch

Numbers Station lets business users chat with their data

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TechCrunch

Credo AI, GitLab, Numbers Station will put the AI in SaaS at TechCrunch Disrupt 2023

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TechCrunch

Numbers Station raises $17.5M to bring AI to your data stack

Press Releases