Prophecy is an AI, driven data preparation and analytics platform that recently has announced its latest release, Prophecy v4, which introduces AI agents targeted for business users to help them perform visual data preparation and analysis more quickly. In addition, the new version allows companies to align the business intents with visual data workflows that can be inspected, modified, and trusted, and at the same time reaping the benefits of automatically generating production, grade code that is stored in Git and executed via cloud data platforms such as Databricks, Snowflake, and BigQuery. The reality that AI is becoming the main driver of generating data logic brings to the fore the issue of enterprises having to figure out ways of trusting and validating AI, generated outputs. Hence, Prophecy v4 puts this issue to rest by allowing the logic created by the AI agents to be made transparent and reviewable via visual workflows, thus there is no need to go through a tedious process of verifying long and complex SQL or Spark scripts. Instead, users collaborate with specialized agents that generate workflows, compile and execute them on target platforms, and convert the results into visual components synchronized with the underlying code, enabling easier inspection and refinement.
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“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”. The launch addresses a long-standing challenge in analytics data preparation which often slows down insights because many business users lack programming expertise and rely on central data teams to process complex datasets. As organizations handle increasingly large and diverse data sources, tasks such as joining datasets, applying quality rules, and transforming information frequently create bottlenecks and backlogs within IT or engineering teams. Prophecy v4 aims to remove these inefficiencies by enabling non-technical users to describe their business intent while AI agents generate and validate the required workflows automatically. The platform also consolidates multiple steps of the analytics lifecycle including querying data, refining logic, and operationalizing results into a unified environment where users interact with AI through a conversational interface and visually inspect results before deployment. Built with enterprise requirements in mind, the platform supports native execution on modern cloud data environments, maintains workflows as open and auditable code in Git repositories, and inherits identity, access control, and governance policies directly from the organization’s data platform. Because the generated workflows are production-ready from the outset, business-created logic can be seamlessly handed off to platform teams without requiring additional rewriting or engineering work. With this approach, Prophecy aims to replace legacy desktop data preparation tools and significantly improve speed, quality, and scalability for enterprise data operations, enabling organizations to reduce hours or even weeks of manual data work into minutes of guided review and deployment.
