Prophecy is an AI-powered data copilot that offers a visual designer which generates standardized, open code to extract, transform and deliver structured and unstructured data across on-premises and cloud sources. Its platform automatically builds data pipelines and tests, generates documentation and suggests fixes, enabling data engineers and business users to develop, deploy and observe pipelines on cloud data platforms. Customers include Fortune 500 enterprises such as Amgen, HSBC and JPMorgan Chase, and the company supports tens of thousands of production pipelines delivering large volumes of data for AI and analytics. Prophecy helps organizations modernize, migrate and consolidate pipelines from legacy tools including Ab Initio, Alteryx, DataStage and Informatica. Financially, the company reported 3.5X revenue growth in FY'24 and 160% net revenue retention from existing customers. The company plans to use new capital to accelerate its roadmap and scale to serve more customers amid surging enterprise demand for AI and analytics. Prophecy offers a visual, low-code development platform (with code) for building reliable data-transformation pipelines, reusable "packages," and outputs in PySpark, Scala or SQL. The platform is available as a fully managed cloud service or on-premises and includes Data Copilot, an LLM-powered tool that generates pipelines from natural-language prompts. Prophecy aims to enable self-service data transformation for non-coding data teams while avoiding vendor lock-in by producing open-source code. The company plans to use new funding to scale the Prophecy platform and accelerate customer acquisition. Prophecy reports rapid commercial traction: around 100 employees, "thousands" of users across multiple Fortune 500 customers, and license deals that typically start in the hundreds of thousands, with some exceeding $1M. Management says revenue has grown 400% year‑over‑year since its Series A and that the business is doubling revenue every two quarters. Prophecy provides a low-code environment for data engineering that lets users seamlessly switch between a visual interface and a code editor, with changes reflected on both sides. The platform generates Apache Spark code and executes workflows through its Airflow service. Prophecy also built a transpiler to modernize legacy ETL pipelines and help enterprises migrate pipelines to the cloud. The company has partnered with Databricks and counts multiple Fortune 500 and Fortune 50 customers among its users. Prophecy plans to use recent funding to polish the product, expand go-to-market efforts, and continue building out its full-stack data engineering platform. Its co-founder emphasizes helping large enterprises move massive on-premises data engineering footprints into the cloud. Prophecy.io offers a SaaS low-code data engineering platform for data practitioners. The product combines visual drag-and-drop development with code on git, tests, continuous integration, and deployment to production. It provides column-level lineage that enables users to track every value from source systems to final analytics. CEO Raj Bains has launched a new SaaS version of the platform. The SaaS release will initially run on Databricks across AWS, Azure, and GCP and will later be expanded to other Spark providers. The company already counts several Fortune 500 customers for its enterprise product.

Total raised

$113M

Funding rounds

4

Latest round

Series B

Latest activity

Jan 2025