Sherpa.ai

What is Sherpa.ai?

Sherpa.ai provides a privacy-preserving AI platform for secure, distributed AI across enterprises, governments and regulated environments. Its core approach is federated learning, which keeps data under the owner's control. The vendor also offers privacy-enhancing technologies intended to support compliance.

Key capabilities of Sherpa.ai

• Federated learning: Collaborative model training across distributed data sources.
• Local training: Models train inside each data silo, so data does not leave the customer's firewall.
• Encrypted aggregation: Only encrypted model updates are shared and aggregated into a global model.
• Edge deployment: Trained models can run on-device for inference.
• Privacy-enhancing technologies: Tools to support privacy regulation compliance.
• Generative AI support: Pre-training and fine-tuning of LLMs without centralizing data.

How Sherpa.ai works

Each participant installs training on its own data. Local models learn from local records, then send only encrypted updates to be combined into a global model, which is returned to participants. The result is a shared model that benefits from many datasets without a central data copy.

Who uses Sherpa.ai?

Sherpa.ai lists healthcare and life sciences, financial services, manufacturing, cybersecurity, and aerospace and defense as target sectors. Logos shown include NIH, KPMG, Telefonica, Zurich and Indra. The vendor states ISO 27001 and HIPAA compliance.

Sherpa.ai pricing

Sherpa.ai does not publish pricing. The site directs visitors to book a demo or contact the company, so pricing is quote-based.

Sherpa.ai alternatives

DeepInfra and fal are hosted inference platforms for running existing models through an API, which is a different problem from training across private data. Modular MAX is an inference serving framework, so it also does not address data-sharing privacy.