Most tools need SQL, warehouses, and weeks of prep. Scoop gives business teams answers fast—no cleanup, no bottlenecks.
Connect your sources, ask a question, and Scoop builds reports and presentations—AI-powered and spreadsheet-smart.
AI-generated reports, live dashboards, and dynamic presentations—all in one flexible, real-time reporting tool.
Integrate HubSpot with Scoop to analyze your CRM, marketing, and sales performance data for actionable insights in one view.
Sync Google Analytics with Scoop to track website traffic, conversion rates, and visitor behavior alongside other business metrics.
Connect Scoop to your data to create dynamic, interactive presentations with drag-and-drop visualizations that update automatically—no more static screenshots or manual work
Bring Google Sheets data into Scoop to automatically query datasets, refresh data, and analyze key metrics directly in your spreadsheets. Easily customize and parameterize queries for dynamic, real-time insights.
Sync Airtable data with Scoop for project management and organizational insights, making it easier to track team performance.
Connect Close.com with Scoop to track sales activity, pipeline progress, and revenue generation all in one unified platform.
Scoop’s AI reads, analyzes, and explains your data like an expert—no SQL, no prep, no prompt gymnastics. Just answers you can actually use.
Scoop was built by people who lived the pain of slow, bloated BI tools. Our team’s mission: make reporting fast, flexible, and actually useful.
Scoop flips the script on how you analyze data. Instead of searching for a needle in the haystack, Scoop scans your entire dataset—finding what’s changed, what’s driving results, and what patterns you’re missing.
Ask questions in plain English and get answers you can trust—complete with visuals, summaries, and the data behind them.
Not everything worth tracking comes with a label. Scoop finds hidden groups in your data—customers with shared behavior, silent churn risks, or breakout segments you didn’t know to look for.
Pick an outcome—like churn, conversion, or renewal—and Scoop finds what’s driving it. Real machine learning runs behind the scenes to surface the traits that actually matter.
You know the segment—now find out what defines it. Scoop compares your group to the rest of the dataset to show what makes them tick, in plain language.
See what changed between two periods and why. Scoop analyzes your entire dataset to explain the shifts in behavior, not just the metrics that moved.
Trusted Scoop integrations built through official partnerships with leading platforms.
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This case explores a comprehensive event and marketing dataset, analyzed end-to-end by Scoop’s agentic AI pipeline, resulting in standout lead generation and actionable conference strategies.
An in-depth patient-level dataset from population health programs was processed through Scoop’s end-to-end agentic AI pipeline, uncovering the drivers of health outcomes and revealing major efficiency gaps—leading to targeted interventions and improved revenue capture.
Leveraging transactional patient-program data, Scoop’s agentic AI pipeline delivered automated health outcome insights and unlocked significant billing opportunities—leading to a measurable uplift in both patient engagement and revenue optimization.
By analyzing performance and cost metrics across sectors, Scoop’s end-to-end AI pipeline uncovered dramatic gains—like a 40% reduction in therapy errors—by deploying explainable AI (XAI) techniques.
By analyzing over 18,800 patient safety incident reports using Scoop's automated AI pipeline, this healthcare organization achieved targeted insights—achieving a higher closure rate and identifying critical harm reduction priorities.
Analyzing detailed transactional records of healthcare product distribution, Scoop’s agentic AI automated data normalization, visualization, and predictive modeling—uncovering deep distribution patterns and identifying gaps in product code predictability.
Using a comprehensive public health dataset on opioid overdose deaths and Narcan intervention levels, Scoop’s agentic AI pipeline revealed critical insights into intervention targeting and mortality drivers.
Scoop analyzed a comprehensive provider wellness and communication survey dataset, deploying a full AI pipeline to reveal actionable workforce and language-access insights—most notably, highlighting a strong link between provider fitness and nutrition, and pinpointing systemic bottlenecks in patient care.
Leveraging real-world FDA approval data and Scoop’s automated AI pipeline, leading device teams quantified technology trends and outpaced competitors with evidence-backed insights.
This personal health dataset on two ADHD medications was transformed by Scoop’s agentic AI pipeline—automatically surfacing that emotional stability is the single strongest predictor of wellbeing outcomes.
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