Your data has a story.

Upload CSV. Ask questions. Get statistical analysis with charts and insights — in minutes.

No credit card required · 3 demo datasets included

Production-ready modules  ·  No coding required  ·  Free to start

Bring your data. Ask your agent. It matches your dataset to the right tools, runs the analysis, and builds your searchable knowledge base—insights that compound over time.

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Three Ways to View Your Results

Every analysis produces a full report — not a JSON blob. Choose how you want to explore, share, or present your findings.

Interactive Report

Sidebar navigation, search, interactive Plotly charts. Share with a link — no account needed to view.

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Card Viewer

Browse individual cards — each chart, table, and metric with AI insights alongside. Navigate with keyboard arrows.

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PDF Report

Academic white paper — serif fonts, figure numbering, clean tables. One-click download, print-ready.

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Linear Regression — Marketing Spend Analysis

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Works on Every Screen

Run analyses from your desktop or phone. The full agent workflow adapts to your device.

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Desktop
Mobile

Every Analysis Builds Your Knowledge

Every result gets embedded into a high-dimensional vector space. Related insights cluster together automatically.
Search by meaning, not keywords. The more you analyze, the more connections you find.

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1

Run an Analysis

Ask a question, pick a tool, or let the agent decide. The result is a full report with charts, tables, and AI insights.

2

Automatically Embedded

The result is converted to a 768-dimension vector and placed in a shared semantic space alongside every other analysis.

3

Search by Meaning

Ask "What do we know about churn?" and the system retrieves the most semantically relevant results — across all datasets, tools, and time.

Your Analyses in Semantic Space

Each dot is a past analysis. Proximity = similarity in meaning.
A query finds the nearest neighbors — regardless of when they ran or what tool was used.

Learn More About Knowledge Graphs →

Prophet Pivot RFM Segmentation Churn Prediction CLV Analysis Revenue Trend Margin Analysis Onboarding Funnel Feature Usage Support Tickets A/B Test "churn" query semantic dimension 1 semantic dimension 2
How It Works

Every analysis result is converted to a 768-dimension embedding vector. Your query is embedded the same way, then we find the nearest neighbors by cosine similarity.

Related analyses cluster together naturally — even if they used different tools, different datasets, or were run months apart.

Analyses by Domain
Customer — RFM, Churn, CLV
Finance — Revenue, Margins
Product — Onboarding, Features
Operations — Support, SLAs
Other analyses (not matching query)
5-Signal Discovery

Tool matching uses Reciprocal Rank Fusion across 5 signals: structural similarity, LLM description, LLM overview, column type coverage, and category fit.

The orange glow shows the query radius. Every lit-up dot is a past analysis the system would return for "What do we know about churn?"

The more you analyze, the more connections you find.

Beautiful Reports Behind Simple Commands

While your AI assistant makes simple tool calls, you get comprehensive visual reports with charts, insights, and professional analysis. These aren't boring API responses—they're publication-ready statistical reports designed for real-world decision making.

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Simple, Transparent Pricing

Start free with 25 tasks/month. Upgrade when you need more.

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        For Developers

        The Engine: MCP Integration

        Already have an AI agent? Connect it directly via MCP protocol.

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        Installation Instructions
        Claude
        Claude Desktop
        ChatGPT
        ChatGPT
        Your Custom Agent

        Start Building Your Analytical Memory

        Every analysis you run becomes searchable knowledge. The more you use it, the smarter your organization gets.