Protege Secures Major Funding to Propel AI Innovations
Protege, a leading platform dedicated to the secure exchange of proprietary data for artificial intelligence training, has successfully completed a Series A funding round garnering $25 million. This significant investment round, spearheaded by Footwork, saw participation from notable investors such as CRV, Bloomberg Beta, Flex Capital, and Shaper Capital.
According to Bobby Samuels, CEO and Co-Founder of Protege, gaining access to quality training data has consistently been the largest challenge in advancing AI technology. He emphasized that Protege was established with the goal of granting data holders controlled access to their information. "This funding marks a pivotal achievement, allowing us to enhance our product offerings and work closely with organizations that are at the forefront of AI development," he stated.
Growth and Expansion of Protege's AI Data Solutions
Since its initial $10 million seed funding round in 2024, Protege has formed partnerships with notable foundational models and AI companies, contributing significant revenue benefits for its data collaborators. Presently, the platform boasts over 100 data partners, particularly in fields like healthcare and media, and features a vast array of training data that includes over 300,000 hours of video content, 500,000 hours of audio content, billions of clinical notes, and hundreds of millions of medical images. To broaden its service offerings, Protege recently introduced two new verticals focusing on Audio & Speech and Motion Capture.
The Founders of Protege
Founded by industry veterans including Bobby Samuels, Travis May (who is also CEO of Shaper Capital and previously held leadership roles at LiveRamp and Datavant), Chief Scientific Officer Engy Ziedan, and Chief Technology Officer Richard Ho, Protege aims to empower data owners from various sectors. The goal is to facilitate a safe and compliant data exchange that enhances access for AI developers. By overcoming data fragmentation, Protege bolsters the development of AI models more effectively and efficiently.
Unlocking Proprietary Data for AI Advancement
As Travis May highlighted, the most valuable insights for developing AI applications are often locked within proprietary datasets, encompassing a wide range of content types, from videos and audio clips to medical imagery and academic textbooks. He noted, "Unlocking this data safely represents one of the most considerable opportunities to speed up AI advancements." Protege is committed to exploring this potential to further AI development.
Future Plans and Vision for Protege
With a remarkable 20-fold growth in 2025, Protege intends to utilize the newly acquired Series A funding to make deeper investments in its product line, expand into additional verticals, and strengthen its collaborations with enterprise clients and data partners. Nikhil Basu Trivedi, Co-Founder and General Partner at Footwork, expressed enthusiasm about supporting Protege’s mission. He stated, "The team has demonstrated outstanding execution since their seed stage, having made significant progress across healthcare, media, and cutting-edge AI labs. As more businesses seek to build AI products grounded in authentic data, Protege’s platform is becoming indispensable for achieving these goals safely and effectively."
Frequently Asked Questions
What is Protege's primary business focus?
Protege focuses on facilitating the secure exchange of proprietary data for AI training, connecting data holders with AI developers.
How much funding did Protege recently secure?
Protege secured $25 million in a Series A funding round to expand its platform and offerings.
What sectors does Protege work with?
Protege collaborates primarily with data partners in sectors like healthcare and media, helping them access AI training data.
Who are the founders of Protege?
The company was founded by Bobby Samuels, Travis May, Engy Ziedan, and Richard Ho, all of whom bring significant industry experience.
What are Protege's plans moving forward?
Protege plans to deepen product investments, explore new verticals, and strengthen partnerships with enterprise customers and data partners.
