Loading organizations...
Scoop Analytics offers an AI-powered agentic BI platform, monitoring business metrics and surfacing critical insights proactively. Leveraging domain intelligence and AI agents, it conducts autonomous investigations, testing explanations for underlying change drivers. The platform provides ongoing analysis and a self-serve interface, integrating existing data warehouses.
Brad Peters founded Scoop Analytics, drawing on experience as Birst founder (acquired by Infor) and Oracle's OBIEE. Peters realized traditional analytics reported data without investigating or interpreting findings. This spurred him to build a new intelligence layer, using workflow engines and large language models for automated scalable investigation.
Serving operations leaders, analysts, and executives across marketing and sales, Scoop Analytics is an enterprise-grade, adaptive system delivering answers. The company envisions scaling top analyst expertise into an automated system investigating and explaining phenomena.
Scoop Analytics has raised $4.0M across 1 funding round.
Scoop Analytics has raised $4.0M in total across 1 funding round.
Scoop Analytics has raised $4.0M in total across 1 funding round.
Scoop Analytics's investors include Ridge Ventures, NTT Venture Capital, Preface Ventures, Stephen Garden.
Scoop Analytics has raised $4.0M across 1 funding round. Most recently, it raised $4.0M Seed in June 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2024 | $4M Seed | Ridge Ventures | NTT Venture Capital, Preface Ventures, Stephen Garden | Announced |
Scoop Analytics is a technology company that builds an AI-powered business intelligence (BI) platform designed to transform raw operational data into presentation-ready insights and automated reports. It serves business analysts and operations teams by enabling them to explore, visualize, and present data quickly without relying on IT or advanced technical skills like SQL. The platform integrates directly with existing business applications and data sources, using a spreadsheet-like interface familiar to users, which simplifies data manipulation and accelerates decision-making. Scoop Analytics addresses the problem of slow, complex traditional BI tools by providing fast, flexible, and user-friendly analytics that keep insights up-to-date automatically, helping teams drive business performance with agility and precision[1][2][3][5].
Scoop Analytics was co-founded by Brad Peters and Gabe Jakobson, both veterans in the data and analytics space. Brad Peters, a pioneer in cloud BI and founder of the first cloud-based BI platform GoodData, brought deep expertise in building scalable analytics systems. The idea for Scoop emerged from their shared frustration with traditional BI tools that created bottlenecks by requiring IT involvement and complex SQL queries. They envisioned a platform that would empower business users to get instant insights using familiar spreadsheet logic without technical barriers. Early traction came from building technology that reads directly from business application reporting layers, bypassing complex data integration challenges, and enabling analysts with modest spreadsheet skills to create live, powerful business analyses independently[1][2].
Scoop Analytics rides the growing trend of democratizing data analytics by removing technical barriers and empowering business users directly. As organizations increasingly rely on data-driven decision-making, the demand for fast, flexible, and user-friendly BI tools that do not require IT intervention is rising. The timing is critical because many companies struggle with data silos, slow reporting cycles, and the complexity of traditional BI platforms. Scoop’s approach aligns with the shift toward AI-enhanced analytics and operational intelligence, enabling proactive insights and continuous monitoring that help businesses identify opportunities and risks earlier than conventional methods. By integrating AI with a familiar spreadsheet interface and direct data connectivity, Scoop influences the broader ecosystem by setting new standards for agility, accessibility, and intelligence in business analytics[1][3].
Looking ahead, Scoop Analytics is positioned to expand its influence by deepening AI capabilities and broadening integrations with enterprise data platforms. Trends such as conversational analytics, machine learning-driven insights, and continuous operational intelligence will shape its product evolution. As more organizations seek to accelerate decision-making and reduce reliance on specialized data teams, Scoop’s frictionless, AI-powered platform could become a critical tool for business users worldwide. Its future growth will likely be driven by enhancing domain-specific intelligence and scaling its platform to serve larger enterprises while maintaining ease of use. This trajectory ties back to its founding mission: to redefine BI as fast, flexible, and genuinely useful for business users, not just data specialists[2][3].
