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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By connecting granular banking exposures data, Scoop’s end-to-end AI pipeline rapidly uncovered market-defining lending patterns and revealed critical strategic thresholds—enabling targeted portfolio optimization at scale.
Analyzing daily transaction data for February 2025, Scoop’s AI pipeline delivered end-to-end automation of data preparation, exploration, and advanced rule analysis—uncovering revenue concentration patterns with a $1.65M impact.
Leveraging a time-series dataset of compliance and operational metrics, Scoop’s AI pipeline surfaced a critical compliance breakdown and revealed persistent operational risks—empowering leaders with actionable intelligence.
A historical transactional dataset was analyzed through Scoop’s AI-powered pipeline, uncovering temporal behaviors that enabled refined operational planning.
Using a historical ticket dataset, Scoop’s automated AI pipeline analyzed 3,550 resolved service desk records, uncovering temporal trends and driving optimized support staffing.
Leveraging a transactional dataset of 420 unique observations of 10-Year Treasury Constant Maturity Rates, Scoop’s automated AI pipeline uncovered yield distribution patterns, identified anomalies, and delivered perfectly segmented ranges for actionable insights.
This case study showcases Scoop’s AI pipeline processing over 400 observations of Treasury interest rates—revealing granular benchmarks and statistically significant monetary thresholds that drive risk and opportunity in financial markets.
This case study showcases how Scoop’s agentic AI pipeline autonomously explored a transactional dataset of 10-Year Treasury Constant Maturity Rates, uncovering robust classification rules and clear threshold boundaries—all without manual modeling. The result: immediate, actionable granularity around rate regimes.
Analyzing a 420-record dataset of 10-Year Treasury Constant Maturity Rates, Scoop’s automated AI pipeline surfaced clear thresholds for economic stress and flawless category boundaries—enabling instant identification of abnormal rate environments.
By analyzing a comprehensive cybersecurity controls and compliance dataset, Scoop’s agentic AI pipeline surfaced systemic misalignments and prioritized actionable remediation—resulting in data-driven clarity for leadership.
This case examines an anonymized insurance product portfolio—a mix of life and investment policies—analyzed by Scoop’s end-to-end AI pipeline. Scoop’s automated insights identified drivers of cash value, loan behavior, and payment predictability, resulting in sharper policy segmentation and targeted servicing.
By leveraging monthly revenue and profitability data across multiple entities, Scoop’s agentic AI pipeline enabled end-to-end diagnostic analytics—delivering a 71% year-end revenue uplift and perfect profitability classification.
Analyzing portfolio position data, Scoop’s agentic AI uncovered significant concentration risks and enabled actionable portfolio optimization—resulting in a clear, data-driven view of exposure and risk thresholds.
Using a large, multi-category transaction dataset, Scoop’s fully agentic AI pipeline delivered actionable insights into value-concentration patterns — revealing that 10.7% of transactions drive 97% of revenue.
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