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Prophecy's Enterprise Express: A New Era in Data Preparation

In an age where data is pivotal to strategic corporate decision-making, Prophecy has taken an innovative step forward with the launch of Enterprise Express. Announced on December 4, 2025, this new service promises to revolutionize the way business teams will utilize AI in their data workflows. The platform is designed to enhance the efficiency of data preparation processes while making it accessible and affordable for organizations of varying sizes.

What is Enterprise Express?

Enterprise Express is a rapid deployment option within Prophecy's award-winning agentic data platform. It allows business data teams to access powerful data workflows in a streamlined manner, offering an effective solution to the challenges of data preparation. For a subscription of $40,000, enterprise teams will gain access to a dedicated Software as a Service (SaaS) environment, which includes priority onboarding and project support from specialized engineers. This means that businesses can realize their data potential faster than ever before.

A Focus on Productivity

The announcement from Raj Bains, founder and CEO of Prophecy, emphasizes the urgency for data teams to deliver strategic insights rapidly. By providing guaranteed results in weeks, rather than months, Enterprise Express equips leaders with the confidence needed to advocate for company-wide adoption of agentic data preparation methods.

The service encompasses various new features, including four innovative agents designed to streamline roles in data preparation. The Discover Agent, Transform Agent, Document Agent, and the soon-to-be-released Requirements Agent are tailored to automate and accelerate various data tasks, significantly reducing workforce hours needed for analysis. For instance, the Transform Agent simplifies the generation of business logic for data workflows, completing complex tasks in a fraction of the time previously necessary.

How It Works

The Enterprise Express system introduces a new Generate, Refine, Deploy model of data lifecycle management. This novel approach offers an ideal balance of productivity and control. Users begin by describing their data needs in straightforward terms; the AI agents then generate a visual data workflow aligned with those specifications. The intuitive no-code visual editor allows users to refine the output, ensuring precise compliance with governance and best practices.

Once the workflow is fully structured to the user's satisfaction, Prophecy provides a simple pathway to deploy it into production. Each visual workflow is converted into SQL code, maintaining adherence to strict privacy, security, and governance protocols. The result is a comprehensive solution that takes the complexity out of data preparation and analysis, offering businesses the agility they require in today's fast-paced environment.

Immediate Availability

The Enterprise Express is now accessible for use in Databricks Lakehouse environments, enabling a seamless integration for organizations already leveraging Databricks technology. For companies aiming to maximize their data potential, Prophecy's latest offering stands as a viable solution that promises to redefine the landscape of enterprise data operations.

About Prophecy

With a reputation as the world's foremost AI-focused data preparation and analysis platform, Prophecy caters to various industries including healthcare, technology, and financial services. Fortune 500 companies trust Prophecy to deliver timely and accurate data at scale. Their innovative solutions encompass everything from AI-driven data generation to visual design and production deployment, setting the stage for organizations to thrive in an increasingly data-driven world.

As data becomes more central to business strategy and operations, solutions like Prophecy’s Enterprise Express are not just beneficial; they are essential for staying competitive. Organizations eager to harness the power of AI for their data challenges should consider exploring this groundbreaking platform.