Agentic Data Prep & Analysis
Agentic Data Prep & Analysis
Turn raw data into trusted insights with visual data workflows built with specialized Claude Code.
An end-to-end solution, analysts produce assets with governance on Databricks, Snowflake, BigQuery.
Trusted by leading global enterprises including HSBC, JP Morgan, Microsoft, Amgen, ClearWater, SAP, Ralph Lauren, Deutsche Telekom, Marks & Spencer, and Toyota.
What is Agentic Prep & Analysis?
Agentic Data Prep & Analysis flips the data workflow. Users do not manually develop data workflows, they now describe business goals to the AI agent, which generates the visual workflows that the users inspect, refine and validate.
How Agentic Data Prep & Analysis Works
Phase 1 – Preparation: The user describes a business goal in natural language (example: "segment marketing leads by campaign"). The AI agent reads the knowledge graph, thinks through the logic, and writes a data pipeline. Intermediate steps visible to the user include joins, filters (e.g. "status = new"), and segment definitions against account detail data.
Phase 2 – Review: The agent surfaces its work as a visual pipeline that the user can inspect step by step — showing exactly how the data was prepared, what was joined, and what was filtered. Users can refine any step before proceeding.
Phase 3 – Analysis: Once the prepared data is validated, the agent generates insights and visualizations. Example output: "There are 3 segmentations of the marketing leads with interesting insights." Results are rendered as charts and summaries the user can act on immediately.
There are 3 segmentations of the marketing leads with interesting insights. Let’s visualize them below:
Demo: AI agent workflow in action. A user types the prompt: "segment marketing leads by campaign." The Prophecy AI agent immediately begins working: it reads the Knowledge Graph to understand available data, thinks through the required logic, and writes a data pipeline. The pipeline joins the open leads table with account detail data, applies a filter for status = new, and segments the results by campaign. Once complete, the agent responds: "There are 3 segmentations of the marketing leads with interesting insights" and renders them as visualizations for the user to review.
The End-to-End Solution for Business & Platform Teams
Prophecy brings the power of AI Agents that coders have to millions of data users by automating and accelerating tedious data tasks.
Market Leading Data Agents
Specialized Claude Code based AI agents that understand your data and apply data specific skills to generate the best results.
Visual Inspect & Refine
AI generates results as visual data workflows, so business users can quickly inspect the logic, refine it to match their intent, and validate the final output.
Integrated Data Execution
You schedule and monitor workflows. Each reads/ writes data using built-in high-performance connectors, and run transforms in Prophecy or your SQL or Spark platforms.
Complete Data Lifecycle
The visual workflows can be deployed to production as high-performance code that runs at scale with governance on Databricks, Snowflake or BigQuery that can be shared.
Analysts become more productive, and business users now self-serve.
See it in action - No sign up required
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FP&A analysts are stuck in spreadsheets, but with Prophecy you build business logic once and use AI to speed up analysis and decision-making.
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Prophecy AI surfaces insights from product usage data and answers retention questions without writing code.
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Use Prophecy AI to analyze movies and awards data over time and uncover unexpected trends.
Watch AI agents in action
Start exploring with a free sample dataset