
Scoop Analytics is an AI-powered data analysis platform designed for business teams to discover actionable insights without technical expertise. Using its proprietary Agentic Analytics™ technology, Scoop automatically runs machine learning algorithms to find patterns, segments, and predictors in business data from CRM, marketing, sales, and financial sources. It enables users to ask questions in plain English and receive instant, explainable insights with visuals, summaries, and data-backed answers, all accessible via Slack or web chat. The platform integrates with over 100 data sources, enhances existing BI and CRM tools, and offers enterprise-grade security with SOC 2 Type II certification. Scoop targets revenue teams across marketing, sales, customer success, and leadership, delivering measurable impacts such as 287% ROI increase, earlier churn detection by 45 days, and millions in discovered revenue. Its self-service analytics empower business professionals to independently analyze data, find hidden customer segments, predict outcomes, and deploy insights directly to revenue teams, positioning Scoop as a strategic AI data scientist for revenue growth and business intelligence.

Scoop Analytics is an AI-powered data analysis platform designed for business teams to discover actionable insights without technical expertise. Using its proprietary Agentic Analytics™ technology, Scoop automatically runs machine learning algorithms to find patterns, segments, and predictors in business data from CRM, marketing, sales, and financial sources. It enables users to ask questions in plain English and receive instant, explainable insights with visuals, summaries, and data-backed answers, all accessible via Slack or web chat. The platform integrates with over 100 data sources, enhances existing BI and CRM tools, and offers enterprise-grade security with SOC 2 Type II certification. Scoop targets revenue teams across marketing, sales, customer success, and leadership, delivering measurable impacts such as 287% ROI increase, earlier churn detection by 45 days, and millions in discovered revenue. Its self-service analytics empower business professionals to independently analyze data, find hidden customer segments, predict outcomes, and deploy insights directly to revenue teams, positioning Scoop as a strategic AI data scientist for revenue growth and business intelligence.
What they do: AI-powered, warehouse-native business analytics platform for revenue and operations teams
Founded: 2022
Headcount (reported): 10
Latest funding: Seed $3.5M (Jun 18, 2024)
Primary customers: Revenue teams (marketing, sales, customer success, leadership)
Make analytics accessible to non-technical business users; accelerate revenue operations and customer retention through automated, explainable AI-driven insights.
2022
Business intelligence / AI analytics
$3,500,000
Participating investors include Engineering Capital and Industry Ventures
“Led by Ridge Ventures with participation from Engineering Capital and Industry Ventures; Ridge Ventures partner Yousuf Khan joined the board”