As artificial intelligence becomes increasingly central to business operations and public services, organisations are facing a growing challenge: how to unlock the value of AI without compromising data privacy, security, or regulatory compliance. Highly regulated industries such as healthcare, finance, government, and critical infrastructure often manage sensitive information that cannot be freely shared or transferred for AI model training. This has created strong demand for technologies that enable organisations to benefit from advanced artificial intelligence while maintaining complete control over their data. Sherpa.ai is developing infrastructure to address this challenge, and the company has now secured significant new funding to accelerate the expansion of its privacy preserving AI platform.
Sherpa.ai has raised $18 million in a funding round that includes new investment from Forgepoint Capital alongside continued support from existing investors Mundi Ventures, Ekarpen, Allegra Holdings, and SETT.
The investment will accelerate product development, expand commercial growth, and strengthen the company’s work on sovereign artificial intelligence technologies.
Building AI Around Data Sovereignty
Sherpa.ai specialises in developing artificial intelligence infrastructure that enables organisations to train, deploy, and operate AI systems without exposing sensitive information.
Its platform has been designed for environments where strict privacy requirements and regulatory obligations make conventional AI deployment difficult.
Rather than requiring data to be centralised, the company’s technology allows organisations to collaborate while keeping information within their own secure environments.
This approach enables businesses and public institutions to benefit from artificial intelligence without sacrificing ownership or control of their data.
Supporting Highly Regulated Industries
The platform is used across industries where privacy and security are fundamental operational requirements.
Sherpa.ai has recently secured projects with organisations operating in healthcare, financial services, industrial technology, and government.
These sectors increasingly require artificial intelligence capable of meeting demanding standards for compliance, cybersecurity, and data governance.
The company’s technology enables organisations to deploy advanced AI solutions while reducing the risks associated with transferring or exposing confidential information.
Growing demand for sovereign AI has further strengthened interest in platforms built around secure and responsible data management.
Advancing Privacy Preserving Research
Alongside commercial expansion, Sherpa.ai continues investing heavily in scientific research focused on privacy preserving artificial intelligence.
The company has published multiple peer reviewed studies exploring techniques for training large language models using distributed private datasets without requiring sensitive information to be shared.
Its research also examines federated learning approaches that enable organisations to collaborate while maintaining local control over their data.
Additional work has focused on distributed training methods designed to significantly reduce communication requirements while improving the efficiency of collaborative machine learning systems.
These innovations have potential applications across healthcare, cybersecurity, financial services, scientific research, and industrial operations.
Combining Research With Real World Deployment
Sherpa.ai believes combining academic research with practical commercial implementation is essential for developing trusted artificial intelligence.
The company’s collaborations with research institutions and industry partners enable new technologies to be validated in real operational environments.
This approach helps accelerate adoption while ensuring privacy preserving AI techniques can address practical business and government requirements.
By integrating scientific innovation into enterprise products, the company aims to make advanced artificial intelligence accessible across highly regulated sectors.
Accelerating Enterprise and Government AI
The newly secured funding will support continued development of Sherpa.ai’s platform while expanding functionality for enterprise and public sector customers.
Investment will also strengthen the company’s international commercial activities as demand for sovereign artificial intelligence continues growing worldwide.
As governments and organisations increasingly seek secure alternatives for deploying AI, technologies that prioritise privacy, regulatory compliance, and data sovereignty are becoming strategically important. By combining advanced machine learning, federated intelligence, and privacy preserving infrastructure within a unified platform, Sherpa.ai is positioning itself to help enterprises and public institutions harness the benefits of artificial intelligence while maintaining complete control over their most valuable asset, their data.