Numbers Station
Numbers Station is an intelligent data stack automation platform that leverages AI to democratize access to powerful insights. With a focus on conversational analytics, it enables users to turn structured data into actionable insights and automated workflows. The platform integrates seamlessly with existing tools, allowing users to execute complex queries through natural language. By automating data workflows, Numbers Station helps businesses save time and focus on strategic initiatives, making it a valuable asset for data-driven enterprises across various sectors, including finance, retail, telecommunications, and healthcare.
Numbers Station
Numbers Station is an intelligent data stack automation platform that leverages AI to democratize access to powerful insights. With a focus on conversational analytics, it enables users to turn structured data into actionable insights and automated workflows. The platform integrates seamlessly with existing tools, allowing users to execute complex queries through natural language. By automating data workflows, Numbers Station helps businesses save time and focus on strategic initiatives, making it a valuable asset for data-driven enterprises across various sectors, including finance, retail, telecommunications, and healthcare.
TL;DR
Founded: 2021
Headquarters: Menlo Park (distributed team)
What they do: AI-native platform for conversational analytics, data transformation, and automated data workflows
Employees: 15
Total funding: $17.5M (through Series A)
Company Overview
Problem Domain
Bridging the gap between structured data and non-technical users by making complex queries, transformations, and workflow automation accessible via natural language.
Founded
2021
Industry
Data platform / Analytics / AI
Funding Track Record
$17.5M
Round included participation from Norwest Venture Partners, Factory, and angel investors; reported as cumulative with an earlier seed (~$5M).
Investor Signal
“Raised a Series A led by Madrona with participation from Norwest Venture Partners, Factory, and angels (including Jeff Hammerbacher)”