AI Does Your Data Work For You
Upload data, ask questions in plain English, get complete analysis with machine learning insights and presentation-ready output—all automatically.
See It In Action
Watch a complete sales analysis—from question to charts to executive presentation—in minutes
What You Just Saw
Scoop's AI automatically handles four complete workflows that normally require separate tools and technical expertise
Natural Language Analysis
Ask business questions in plain English. AI understands context and intent, no SQL required.
Automatic Machine Learning
AI builds predictive models, runs segmentation, and identifies patterns—explaining results in business terms.
Instant Visualizations
AI creates appropriate charts and dashboards automatically, with full customization options.
Presentation Generation
One-click export to PowerPoint with branded slides, live charts, and executive summaries.
Why This Changes Everything
Traditional analytics requires multiple tools, technical skills, and weeks of work. Scoop does it all in one platform, automatically.
Separate Tools, Technical Skills Required
- Need SQL for complex queries
- Need Python/R for machine learning
- Separate BI tool for dashboards
- Manual export to PowerPoint
- Weeks to train, months to master
- Requires data team for support
One Platform, Zero Code
- Ask questions in plain English
- AI builds ML models automatically
- Integrated visualizations
- One-click presentations
- 30 seconds to first insight
- Anyone can use it
The Modern Data Stack vs. Scoop
Traditional organizations need 5+ separate tools. Scoop does everything in one platform.
Traditional: 5+ Tools, Months to Setup
Scoop: Everything Built-In, 30 Seconds to Start
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Traditional Stack Requires:
- ETL tools (Fivetran, Airbyte)
- Data warehouse (Snowflake, BigQuery)
- BI tool (Tableau, Looker)
- Separate ML platform
- PowerPoint for presentations
Cost: $50K-$500K+/year
Setup: 3-6 months
Team: Engineers + Analysts + Data Scientists
Scoop Includes Everything:
- 100+ native data connectors
- In-memory data engine
- Built-in visualizations
- Integrated ML capabilities
- Presentation generator
Cost: $100/month
Setup: 30 seconds
Team: Anyone who can ask questions
How Scoop's AI Works
What looks simple to you is extraordinarily complex behind the scenes
We call it Agentic Analytics™—AI that does the work of an entire data team automatically. When you ask "Which customers are likely to churn?", here's what happens behind the scenes:
Finds and Prepares Your Data
- Connects to your CRM, spreadsheets, or databases
- Automatically figures out what data is relevant
- Cleans and combines information from multiple sources
- No data engineering required
Runs the Analysis
- Builds predictive models to identify at-risk customers
- Tests multiple approaches to find the most accurate one
- Calculates confidence levels so you know how reliable the prediction is
- Explains which factors drive the prediction (contract length, support tickets, etc.)
Makes It Actionable
- Creates charts showing the highest-risk accounts
- Writes a summary explaining what you should do
- Can push the churn scores directly back to Salesforce
- Generates a presentation for your executive team
All in minutes. What would take a data scientist days to code and validate, Scoop does automatically.
Why Teams Choose Scoop
One platform that eliminates the need for separate BI tools, ML platforms, and technical teams
Instant Answers
Go from question to insight in seconds, not weeks. No waiting for data teams or analysts.
Zero Technical Skills
No SQL, no Python, no formulas. If you can ask a question, you can use Scoop.
Always Current
Connect live to your data sources. Models update automatically as new data flows in.
Business Language
AI explains everything in plain English with confidence levels and clear recommendations.
Team Collaboration
Works in Slack where your team already collaborates. Share insights instantly.
Executive Ready
One-click export to PowerPoint with branded slides, charts, and narratives.
Ready to Transform Your Analytics?
Join companies that have replaced their entire data stack with one AI-powered platform