Sherpa.ai raises $18M for data-sovereign AI
Sherpa.ai’s funding round targets a growing enterprise problem: how organisations can use AI without surrendering control of sensitive data.
AI adoption is colliding with a simple constraint: many organisations cannot freely move sensitive data into external systems.
What happened
Sherpa.ai raised $18M to expand an AI platform aimed at enterprises and governments that need stronger control over sensitive information.
New investor Forgepoint Capital joined existing backers. The company says its systems allow organisations to train and operate models collaboratively without sharing underlying sensitive data, targeting regulated environments including healthcare, finance and government.
Why it matters
This is a strong sovereignty signal because enterprise AI is increasingly limited by privacy, data residency and strategic control.
For regulated organisations, the problem is not only whether a model works. They also need to know where data sits, who can access it and whether collaboration is possible without exposing confidential information.
That creates demand for AI infrastructure designed around control rather than maximum data centralisation.
The bigger picture
The AI market is splitting between open global services and more sovereign deployments shaped by national rules, sector regulation and security concerns.
Sherpa.ai sits inside that second category. As governments and large enterprises become more cautious about data dependence, privacy-preserving and sovereign AI infrastructure could become a major enterprise software layer.