Sherpa.ai

Sherpa Europe S. L. is a pioneering company that offers a Software as a Service (SaaS) platform utilizing Federated Learning to enable privacy-preserving artificial intelligence model training for enterprises. Founded in 2012 and headquartered in Spain, Sherpa Europe S.

L. focuses on leveraging artificial intelligence technologiesIn July 2026, Sherpa. ai raised EUR 16 million in venture funding led by Forgepoint Capital. with participation from Mundi Ventures ,Ekarpen, Allegra Holding and SEPI Digital.

Sherpa. ai specializes in providing a pioneering Software as a Service (SaaS) platform that utilizes Federated Learning for privacy-preserving artificial intelligence (AI) model training. This technology empowers enterprises to optimize their AI capabilities without transferring sensitive data, ensuring regulatory compliance and enhancing collaboration across data silos. The platform is designed to address various use cases, particularly in sectors such as healthcare, financial services, and industry 4.

0, by facilitating data collaborations that enhance fraud detection, improve patient care, and streamline operational efficiencies. Sherpa. ai’s clientele includes large organizations aiming to leverage their data assets while maintaining privacy standards, with products marketed in multiple geographical regions, including North America, Europe, and parts of Asia. In 2022, Sherpa.

ai reported a revenue amount of USD 10,856. The company generates revenue through a subscription-based model, where clients pay for access to its Federated Learning platform. This model fosters long-term relationships with enterprise clients in sectors like finance and healthcare, allowing them to enhance their existing data practices while ensuring compliance with industry regulations. The company engages in partnerships with financial institutions, healthcare providers, and other enterprises, providing tailored solutions to meet specific needs, such as improving fraud detection or accelerating research in clinical settings.

Specific pricing details are withheld, reflecting the complexity and scale of solutions provided, but overall revenue is driven by its commitment to enhancing AI capabilities while prioritizing data privacy for its clients. The company will use the june 2026 funding to develop its AI platform and expand into new markets.