MOTHER AI has launched what it describes as the United Kingdom’s first sovereign large language model, a platform designed, trained, and hosted entirely on British infrastructure.

By operating independently of foreign cloud providers, the company intends to offer a secure alternative for domestic data processing and storage. This localised approach is positioned as a strategic solution for organisations seeking stricter operational control and closer alignment with UK regulatory expectations regarding sensitive data handling.

MOTHER AI said it designed the system for use in regulated and mission-critical environments. It listed target sectors including defence, critical national infrastructure, healthcare, finance and large-scale media operations.

The announcement arrives as British and European organisations increasingly scrutinise the level of control they maintain over their data, model behaviour, and artificial intelligence supply chains. Amidst this shifting landscape, various governments and regulators have called for enhanced accountability and more transparent audit trails within automated decision-making systems.

This new platform forms part of a wider international movement by suppliers to provide national or regional AI stacks that encompass everything from core infrastructure to model development and deployment. By entering this space, MOTHER AI has framed its launch as a sovereignty-led alternative designed to meet the specific demands of the domestic market.

Christopher Kenna, Founder of MSAI, linked the product’s positioning to questions of control and governance.

“MOTHER is not another generic AI model,” said Christopher Kenna, Founder of MSAI. “She is a sovereign intelligence, built in the UK, trained for responsibility, and designed to operate where trust truly matters. I built the very first version of MOTHER as a teenager on a Commodore 64 while living in the care system in Sunderland, so bringing her to life now as a secure, UK-built intelligence platform is a full-circle moment. Our goal is to give organisations powerful AI without surrendering control of their data, decisions or values.”

UK-based deployment

MOTHER AI said it designed, trained and hosted the model in the UK. The company said this removes exposure to “extraterritorial legislation” tied to foreign jurisdictions. It also said organisations can keep processing and storage within the UK.

The company said customers can deploy the system through self-hosted installations and private cloud configurations. It also said the platform supports air-gapped environments.

MOTHER AI described the platform as modular. It said it provides services across language, vision and task-specific functions. The company also cited “multimodal intelligence” in its description of the product.

Governance focus

The team at MOTHER AI said it built the platform for “secure, regulated and mission-critical environments”. It said the system prioritises transparency and controllability. It also said the product aligns with emerging UK and EU governance frameworks.

The company listed governance features including auditability and “compliance readiness”. It also referenced concerns around opaque model behaviour and regulatory risk as drivers for its architecture.

Furthermore, MOTHER AI said the model includes advanced reasoning systems. It said these systems target decision support, analysis and strategic planning. The company did not disclose model size, training data composition, compute sources, or performance benchmarks in its announcement.

Pilots and access

MOTHER AI said it has started controlled pilots. It said these pilots include enterprise users, defence-adjacent research, and regulated commercial sectors.

The company said it is entering controlled public testing. It also said broader enterprise availability is planned throughout 2026.

MOTHER AI describes itself as a UK-based artificial intelligence platform dedicated to the sovereign, secure, and responsible deployment of AI technologies. Alongside this, it identified Media Stream AI as a British-owned AI infrastructure and systems specialist, focusing on sovereign compute and regulated deployment tailored for enterprise, government, and defence-aligned requirements.