Prophecy Inc., a data copilot startup, raised a $47M Series B extension led by Smith Point Capital, with participation from HSBC and others. The company uses generative AI to automate data pipeline development, making data accessible across systems. Prophecy's copilot, integrated with Databricks, accelerates AI initiatives by simplifying data preparation. The funding will enhance its platform and expand its customer base by 2025.

San Diego, CA-based data integration software company Prophecy has raised $47m in a Series B1 round of funding, and will use the money to expand operations and its business reach.

Generative AI accelerates data preparation for analytics and AIPALO ALTO, Calif., June 4, 2024 /PRNewswire/ -- Prophecy , the data copilot company, today announced Prophecy Data Transformation Copilot for Databricks, the industry's first copilot that accelerates the preparation of raw data for analytics and AI applications. By leveraging generative AI, Prophecy Data Transformation Copilot expedites the development, deployment, and monitoring of enterprise-grade data pipelines native to the Databricks Data Intelligence Platform, ensuring the delivery of clean, trusted, and timely data for analytics.To learn more, read the blog here or visit the company at the Databricks Data+AI Summit on June 10-13th in San Francisco at booth #117."Generative AI is set to fundamentally change how we work with data, as technologies that leverage intelligence about data and language models provide novel approaches to transform, organize and get insights from data," said Stewart Bond, Vice President of IDC's Data Intelligence and Integration Software Service. "Copilots improve the accessibility and availability of data for technical and non-technical users throughout the enterprise, democratizing data and analytics."Cloud data platforms have become increasingly powerful to support a wide array of use cases, including streaming data pipelines, batch pipelines, and ad hoc SQL analyses. These platforms effectively handle diverse data types, from database tables to APIs to documents, and apply transformations such as cleaning, combining, aggregating, and structuring to prepare the data for utilization in AI and business intelligence.Enabling a large number of data users to be productive has proven challenging for organizations, because traditional visual ETL products fail to seamlessly integrate with code-based cloud data platforms. Consequently, many enterprises resort to developing code directly for these cloud data platforms which, while powerful, remains inaccessible to most data users. Copilots address this issue by democratizing access to cloud data platforms, thereby increasing productivity across the board."The industry's current approach to data transformation is broken