Prophecy and Snowflake are expanding their partnership to help enterprises make AI-powered data preparation and analysis more accessible, governed, and scalable.
Prophecy brings a purpose-built AI agent for data work, including data preparation and analysis, together with visual, inspectable workflows and open, editable code underneath. Built to work with Snowflake, Prophecy helps business users and analysts turn business intent and domain knowledge into working data workflows, while giving data and engineering teams the visibility and control they need to trust and operationalize that work.
The trust gap AI still leaves behind
AI is making it easier for business users to work with enterprise data. But getting an answer isn't the same as getting a workflow you can trust: Was the join correct? Did it handle the exception rows? Was the right business definition applied?
And even when the result is right, it often has no path back into the governed environment it came from. It stays in a chat window, a spreadsheet, or a one-off script instead of becoming a repeatable, production-ready workflow.
Your data platform isn't the problem. You've already built governed data environments, semantic layers, and catalog policies for production data. The gap is what happens between a business user asking AI a question and that answer becoming a workflow your data team is willing to run in production.
Prophecy helps close that gap with a purpose-built AI agent, deterministic workflows business users can visually inspect and refine, and real, open, editable code underneath. Workflows can run within the data and governance infrastructure enterprises have already established in Snowflake.
Bringing AI-native data development to Snowflake
Through its expanded partnership with Snowflake, Prophecy helps organizations get more value from their existing data investments while giving more people the ability to work with enterprise data.
For business users and analysts, Prophecy provides an AI agent that turns domain knowledge and business intent into working data workflows without requiring them to write or review code. The visual workflow makes the AI's work inspectable and gives users a way to refine the result before it runs.
For data platform and engineering teams, Prophecy provides a path from AI-generated work to production-ready data development. Workflows are backed by real SQL, can be version-controlled in Git, and are designed to fit into existing engineering and governance practices.
For data and analytics leaders, this means expanding the organization's capacity to get trusted data work done without scaling complexity at the same rate. Business teams can contribute directly to work that depends on their domain knowledge, while data and engineering teams retain the visibility, governance, and control needed to ensure that work is trusted and production-ready.
Prophecy generates native Snowflake SQL and works with Snowflake Horizon Catalog, helping organizations bring AI-assisted data work into the same governed environment where their enterprise data already lives.
Where you'll put this to work
AI-native data preparation and analysis
Business users and analysts who know the business logic but can't self-serve without writing or reviewing code can use natural language to describe what they need, inspect the visual workflow Prophecy's AI agent generates, and refine the result before running it.
Analysts can complete workflows up to 50% faster with Prophecy, helping teams get more value from their data without waiting on data engineering capacity for every request.
Modernizing onto Snowflake
For organizations looking to consolidate data work on Snowflake, Prophecy provides a path to move existing legacy workflows without starting over.
With one-click import, teams can bring existing workflows into Prophecy and continue working with a familiar visual, low-code experience, while the resulting workflows are backed by Snowflake-compatible code and can be version-controlled in Git.
Business users keep the self-service experience they rely on, while organizations can move that work into the same governed Snowflake environment as the rest of their enterprise data.
Get started with Prophecy and Snowflake
Prophecy is built for organizations that want to give business users a trusted way to prepare and analyze enterprise data while maintaining the engineering standards and governance their data teams require.
If you're already running on Snowflake and want to expand who can work with governed data, accelerate AI-powered data development, or modernize existing workloads without losing self-service, Prophecy can help.
Prophecy will also soon be available through Snowflake Marketplace, providing customers with an additional way to discover and purchase Prophecy.
About Prophecy
Prophecy is the agent-first data development and analysis platform for enterprises. Business and data analyst teams can use natural language to work with enterprise data, with every task backed by a deterministic, visually inspectable workflow and real, editable code. Prophecy works with Snowflake and leverages Horizon Catalog for governance.
Fortune 500 companies across banking, insurance, healthcare, life sciences, and technology rely on Prophecy to deliver trusted data outcomes at enterprise scale.
About Snowflake
Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,300 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use, and share data, applications, and AI. Learn more at snowflake.com (NYSE: SNOW).
Ready to see Prophecy in action?
Request a demo and we’ll walk you through how Prophecy’s AI-powered visual data pipelines and high-quality open source code empowers everyone to speed data transformation
