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§ Private Profile · Austin, TX, USA
Numbers Station is a technology company.
Numbers Station develops a conversational analytics platform that transforms how enterprises interact with structured data. Leveraging proprietary foundation model technology, its solution understands complex data models to extract features from tabular data and generate structured data from text. This technical approach ensures AI-driven insights are accurate and trustworthy within enterprise data environments.
The company originated from a Stanford University research project led by doctoral students Dr. Chris Aberger and Dr. Ines Chami. Their insight focused on applying advanced foundation model technology to structured enterprise data. Industry veteran Anthony Tockar subsequently guided the company as CEO, bridging academic innovation with practical enterprise applications.
Numbers Station serves enterprise clients, empowering users across organizations to engage with data more intuitively. The company's vision is to accelerate time-to-insight by fostering natural data interactions, ultimately driving impactful business outcomes through trusted artificial intelligence solutions.
Numbers Station has raised $13.0M across 1 funding round.
Numbers Station has raised $13.0M in total across 1 funding round.
Numbers Station is an AI-powered conversational analytics platform that enables users of all skill levels to interact with enterprise data using natural language, automating complex workflows across data warehouses, dashboards, and other tools.[1][2][4] Founded in 2021 and pioneered in Stanford's AI lab, the Seattle- and Menlo Park-based startup served enterprises like Fortune 500 firms (e.g., Jones Lang LaSalle) by solving data silos and technical barriers, delivering immediate insights via multi-agent AI and a unified interface; it grew to 22 employees, secured 10 customers, and raised $17.5M in Series A funding before its acquisition by Alation in 2025.[1][3][4]
The platform targeted data practitioners and business users, addressing the friction of traditional analytics by unifying ecosystems and building business-context awareness through its Knowledge Layer, which drove early traction with Fortune 500 adopters praising its learning capabilities for hypothesis testing and outcomes.[2][4]
Numbers Station emerged from Stanford University AI research on applying large language models to data analysis challenges, founded in 2021 by Chris Aberger (CEO), Ines Chami, Sen Wu, and Chris Ré.[1][3] Aberger, leading the effort, focused on enabling non-technical users to query structured data without heavy plumbing, launching its cloud product in early access by March 2024 after initial development.[3][4]
Early momentum built quickly: two years post-founding, it raised $17.5M in Series A led by Madrona, with backers including Norwest Venture Partners, Factory, former Tableau CEO Mark Nelson, Cloudera co-founder Jeff Hammerbacher, and Intel's Lip Bu Tan; by acquisition, it had 10 customers and operated from Seattle's Create33 space near Madrona.[3][4]
Numbers Station stood out in enterprise analytics through these key strengths:
These features powered rapid adoption among non-technical users while handling complex tasks like data enrichment and fuzzy matching.[4]
Numbers Station rode the generative AI wave for enterprise data, capitalizing on LLMs to democratize analytics amid exploding structured data volumes and "agentic" tool demands.[3][4] Its timing aligned with post-2023 AI hype, bridging gaps in tools like dashboards where non-experts struggled, fueled by market forces like hybrid cloud adoption (e.g., AWS integration) and governance needs.[2][5]
By unifying silos, it influenced the ecosystem toward AI-native platforms, paving the way for Alation's agentic expansions serving 600+ customers, and amplified Stanford-to-startup talent flows in Seattle's AI hub.[3]
Post-acquisition by Alation (terms undisclosed), Numbers Station's tech integrates to supercharge data intelligence, evolving from standalone chat analytics to agent-driven actions that "do more with data."[3] Trends like multi-modal AI agents and semantic data layers will propel this, potentially scaling to Alation's $1.7B valuation base amid governance-AI convergence.[3]
Its influence grows embedded in enterprise stacks, accelerating natural language analytics for broader adoption—transforming how organizations "talk to their data" from isolated queries to ecosystem-wide intelligence.[1][2]
Numbers Station has raised $13.0M across 1 funding round. Most recently, it raised $13.0M Series A in March 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2023 | $13M Series A | Madrona Venture Group | B Capital Group, Canaan Partners, Cream City Venture Capital, ICONIQ Capital, Insight Partners, Intel Capital, Openview Venture Partners, Sapphire Ventures, Work Bench, Abhinav Asthana, Sumon Sadhu, Jeff Hammerbacher, Factory, Norwest Venture Partners | Announced |
Numbers Station has raised $13.0M in total across 1 funding round.
Numbers Station's investors include Madrona Ventures, B Capital Group, Canaan Partners, Cream City Venture Capital, ICONIQ Capital, Insight Partners, Intel Capital, Openview Venture Partners, Sapphire Ventures, Work-Bench, Abhinav Asthana, Sumon Sadhu.