Datavolo Raises Over $21M for Multimodal Data Pipeline Expansion
Datavolo specializes in creating secure, efficient pipelines for handling unstructured data, which is crucial for developing Retrieval Augmented Generation (RAG) applications in regulated sectors.
Company Name: Datavolo
Location: Phoenix, AZ
Sector: Multimodal Data Pipelines for AI
Funding Details: Raised over $21M in a funding round led by General Catalyst, with participation from Citi Ventures, Human Capital, Rob Bearden, and MVP Ventures.
Purpose of Investment: To expand operations and development efforts.
Leadership: Led by Joe Witt, CEO, and Luke Roquet, COO
Product: Datavolo offers a multimodal data pipeline platform that enables the ingestion, processing, governance, scheduling, and tracking of unstructured data from beginning to end. This creates a chain of custody for generative AI Retrieval Augmented Generation (RAG) applications, meeting key requirements for regulated and security-sensitive industries such as banking. Apache NiFi powers the platform, which was developed at the NSA for secure data pipeline handling.
About Company: Datavolo specializes in creating secure, efficient pipelines for handling unstructured data, which is crucial for developing Retrieval Augmented Generation (RAG) applications in regulated sectors. By leveraging the capabilities of Apache NiFi, it ensures a secure and governed flow of data across various stages, enhancing AI applications' reliability and security.