ChatGPT generates text; Scoop runs actual analysis on your data. We use production-grade ML algorithms (not just language models) to find patterns, predict outcomes, and test hypotheses. You get deterministic results with confidence levels and statistical significance, not AI-generated summaries. Plus, we're built specifically for business data with enterprise security.

Traditional BI tools require you to know what questions to ask and how to build reports. Scoop investigates autonomously - ask 'why did churn increase?' and it tests multiple hypotheses, measures statistical significance, and explains findings. It's the difference between self-service reporting and AI-powered discovery.

Traditional tools need you to build the logic. Scoop builds it for you. GPT models can write summaries, but they can’t execute a full analytics stack with structure, accuracy, or reuse. Scoop can—because it was built to.

Scoop uses clustering, classification, and predictive models to identify patterns, segments, and relationships in your data. Then it uses LLMs to explain those findings clearly.

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Yes! Scoop works in both private DMs (for personal analysis) and shared channels (for team collaboration). Datasets can be shared with specific channels, and insights can be discussed right where your team works. Complete workspace isolation ensures data security.

Scoop offers flexible pricing based on team size and usage. Start with our free trial - no credit card required. We provide transparent per-user pricing with volume discounts for larger teams. Contact our sales team for enterprise pricing and custom configurations.

Yes! Get instant access to a guided workspace with sample data. Upload your own files and connect data sources immediately. No credit card needed to start exploring. Experience all features including AI analysis, machine learning, visualizations, and Slack integration.

Scoop uses Agentic Analytics‚Ñ¢ - AI that investigates like a data scientist. It forms hypotheses, tests them systematically, and explains findings with confidence levels. Unlike basic AI copilots, we run production-grade ML algorithms and show our work with statistical significance and evidence ranking.

Absolutely. Ask 'why did revenue drop?' and Scoop investigates across multiple factors, tests hypotheses, measures statistical significance, and provides confidence-rated explanations. It shows you the complete investigation process - hypothesis formation, systematic testing, evidence ranking, and alternative explanations considered.

Create shared workspaces with role-based access. Share datasets with specific teams, collaborate on analyses in Slack channels, and export insights as presentations. Maintain security with workspace isolation while enabling self-service analytics across your organization.

Predict which deals will close, understand what drives win rates, identify at-risk pipeline, and coach reps with data-driven insights. Turn CRM data into actionable sales intelligence with questions like 'why did our win rate drop?' or 'what predicts deal success?'

Upload a file and get analysis in under 60 seconds. Most ML analyses complete in 1-2 minutes. Connect to live data sources and start exploring immediately - no data modeling, ETL pipelines, or technical setup required. Instant insights from real data.