Numbers Station
- Company typePrivate
- Founded2021
- HeadquartersAustin, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Numbers Station firmographics
Firmographics- Name
- Numbers Station
- Website
- https://numbersstation.ai
- Company type
- Private
- Founded year
- 2021
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Numbers Station industry classification
Industry- Product category
- AI Data Transformation Platform
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), IT Workflow Automation & Orchestration Platforms (HDAEALAF)
Keywords
Where Numbers Station is headquartered
LocationHeadquarters
- HQ city
- Austin
- HQ country
- United States
- HQ region
- North America
Markets served
Numbers Station business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales
Numbers Station product offering
Product offeringCore offering
Numbers Station developed an AI-powered data stack automation platform that leverages foundation model technology from Stanford AI Lab to automate data transformation tasks for data teams. The platform enables data professionals to process and transform structured enterprise data, generate faster insights, and build automated workflows without manual coding, democratizing AI access across data functions.
Product overview
Numbers Station offered a single unified AI-powered data stack automation platform built on foundation model technology originating from Stanford's machine learning research. The platform automated data transformation tasks for data professionals, enabling faster insights and automated workflows. As of May 2025, Numbers Station was acquired by Alation, an enterprise data intelligence platform, and its AI-native agent technology is being integrated to accelerate intelligent data agent deployment for enterprise data.
Differentiator
Problem solved
Functional benefit
Products and services
- AI-Powered Data Stack Automation Platform An AI-native platform that uses foundation model technology to automate data transformation tasks for enterprise data teams. It enables data professionals to process and transform structured enterprise data, automate multi-step data workflows via AI-native agents, and generate insights faster without manual coding.
Companies that use Numbers Station
Customer profileSegments1 record
Ideal customer profiles1 record
Numbers Station technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability3 records
Feature1 record
Numbers Station partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- AlationcoreAlation acquired Numbers Station on May 20, 2025 to combine Numbers Station's AI-native agent technology with Alation's enterprise data intelligence platform. The acquisition enables organizations to build and deploy AI-native analytics applications with agentic workflows while maintaining governance and compliance standards. Numbers Station's team, originating from Stanford's machine learning research, joined Alation.
- Stanford AI LabcoreNumbers Station leverages foundation model technology developed in partnership with Stanford AI Lab for automating data transformation tasks, providing technical differentiation through academic research collaboration.
Scale indicators2 records
Recent moves5 records
Numbers Station competitors and assessment
Company assessmentDirect peers
- Fivetran: Fivetran automated the data movement and transformation layers of the modern stack; comparable in being an automation-first play for the same horizontal data team persona.
- dbt Labs: dbt is the de facto standard for SQL-based data transformation in the modern data stack. Numbers Station targeted the same data transformation workflow with a foundation-model-native approach, making dbt the closest direct competitor prior to the Alation acquisition.
- Airbyte: Airbyte offers open-source data integration with AI-assisted transformation capabilities; comparable horizontally as an open, AI-enabled modern data stack automation platform.
- Coalesce: Coalesce provides a data transformation platform with AI-assisted features for enterprise analytics. It targets the same data team / data transformation use case as Numbers Station.
Broad incumbents
- Snowflake: Snowflake's data cloud is embedding AI-native transformation and governed AI features, directly addressing the same enterprise data workflow automation problem Numbers Station was built to solve.
- Alteryx: Alteryx offers an analytics automation platform with AI-assisted data prep and transformation; an incumbent in the same buyer workflow (data professionals automating transformation tasks).
- Databricks: Databricks provides a unified data + AI platform with Mosaic AI and lakehouse transformation tooling. It competes broadly with Numbers Station on AI-assisted data workflows and enterprise data automation.
Others
- Alation: Acquirer of Numbers Station. Alation operates a data intelligence / catalog platform and is the strategic acquirer that absorbed Numbers Station's AI agent technology.
Emerging players
- Weights & Biases: W&B provides AI/ML development tooling that sits adjacent to AI-driven data workflows; relevant as an ML-platform peer given Numbers Station's foundation-model foundation from Stanford AI Lab.
- Promethium: Promethium markets AI-native data analytics with agentic capabilities, operating in the same emerging agentic-analytics category Numbers Station targeted.
Market position
Strengths3 records
Weaknesses3 records
Competitive moat3 records
Key risks5 records
Key highlights5 records
Customer concentration
Numbers Station social profiles
Digital presenceNumbers Station financial estimates
Financial estimateRevenue estimate
Valuation estimate
Numbers Station leadership team
Management profileNumber of profiles
Profiles1 record
Numbers Station funding detail
Funding detailFunding overview
Funding rounds2 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Numbers Station M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Numbers Station
What does Numbers Station do?
Numbers Station developed an AI-powered data stack automation platform that leverages foundation model technology from Stanford AI Lab to automate data transformation tasks for data teams. The platform enables data professionals to process and transform structured enterprise data, generate faster insights, and build automated workflows without manual coding, democratizing AI access across data functions.
Is Numbers Station a public or private company?
Numbers Station is a private company. It is classified as corporate owned and is currently acquired.
When was Numbers Station founded?
Numbers Station was founded in 2021. It employs 11 to 50 people.
Where is Numbers Station based?
Numbers Station is headquartered in Austin, United States, in the North America region.
Who are Numbers Station's main competitors?
Direct peers on record are Fivetran, dbt Labs, Airbyte and Coalesce. Broad incumbents are Snowflake, Alteryx and Databricks. Alation is listed as an others. Emerging players are Weights & Biases and Promethium.
Does Numbers Station have an API?
No public API is recorded for Numbers Station.
What industry is Numbers Station in?
Numbers Station's product category is AI Data Transformation Platform. Its primary akta.pro industry code is BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM), with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 541511 and its SIC code is 7370.