Scoop Analytics

Scoop is offered as an AI data scientist that uses AI agents and real machine learning to uncover what’s happening in a business, explain why, and guide what to do next.

Scoop is further described as an agentic system that finds patterns, segments, shifts, and predictors across sales, marketing, finance, and customer data without needing every variable up front. It does not need SQL, or Python. With connected data, Scoop surfaces insights on its own.

Scoop makes discovery interactive. Its AI chat is the primary way data is explored. Users can ask follow-up questions, refine segments, compare time periods, and dig deeper into behaviors using only this feature.

Scoop is designed for real-time AI-powered data discovery, and anything interesting that's uncovered can be saved into Scoop’s business intelligence tools, which are capable of producing shareable and dynamic reports.

The entry tier plan allows business users to connect and data sources OpenAI or Anthropic keys, and features basic AI capabilities and receive basic visualizations. It is limited to providing analysis for 1-2M records.

The AI + BI platform includes a data science studio with more advanced AI capabilities, AutoML capabilities, and deeper reasoning. Finally, the Domain Intelligence plan supports industry and company specific knowledge with autonomous and continual monitoring with proactive pattern detection.