Prophecy, the AI data prep & analysis platform, announced Prophecy v4, bringing AI agents based on Claude Code to business users for visual data preparation and analysis. Prophecy v4 generates visual data workflows that users can visually inspect, refine, and trust—while producing production-grade code stored in Git and executing with governance and scale on customers’ cloud data platforms.
As AI begins to generate more of the data logic, the bottleneck shifts from generation to validation and trust. Prophecy v4 addresses this by making AI-generated logic visual and reviewable, avoiding the slow, error-prone process of validating pages of AI-written SQL or Spark code. Instead, users collaborate with specialized agents that generate workflows, compile and run them against the target platform, then lift the resulting logic into visual components that remain synchronized with underlying code.
“Coding without AI has become unthinkable in the past two years, we are bringing the same power to millions of business data users” said Raj Bains, CEO at Prophecy. “For our customers, results that took days or weeks are being done in minutes”
Also Read: Deepgram and IBM Introduce Advanced Voice Capabilities for Enterprise AI
Why this matters: data prep is still the analytics bottleneck
Most business data users aren’t programmers. They often start in spreadsheets, but as data becomes more complex—multiple sources, joins, and quality rules—work gets pushed into ticket queues for central data teams. The result is slow iteration, growing backlogs, and lost momentum. Legacy desktop tools made prep more accessible, but they were built before cloud platforms, Git-based collaboration, and AI-driven workflows.
Prophecy v4 is designed to replace legacy desktop tools and deliver a step-change in speed, quality, and scale by combining agent-driven productivity with cloud-native execution.
SOURCE: PRNNewsWire