What We Do / Sovereign AI
Sovereign AIIndependent advice on where your AI runs, who can see your data and who owns what your models learn. MALA compares the options and negotiates the terms, in strategic partnership with Eminence Grey. No fee to you.
Sovereign AI is not only about where data lives. It is about keeping control of the intelligence your organization builds, and being able to walk away from a vendor without losing it.
Which jurisdiction, which facility and who can access it, including data people paste into prompts.
Whether fine-tuned models, weights and what they learn from your business stay yours.
Dedicated GPUs, private cloud or on-premises, sized to real workloads instead of hype.
Exit terms, portability and who operates the environment day to day.
Commercial and government buyers face different rules, risks and procurement paths, so each has its own page.
For banks, health systems, manufacturers and IP-rich companies that want private AI without handing their data or models to a public platform.
For defense contractors, research labs and agencies running AI on controlled and classified workloads.
The right placement depends on the most sensitive data each workload touches. MALA prices every option side by side.
List the AI you use or plan and the most sensitive data each one touches. See where each workload can safely run, and which ones break a rule today.
Inventory AI workloads and the data each one touches.
Match every workload to where your rules allow it to run.
Price sovereign, cloud and GPU options side by side and negotiate terms.
Coordinate deployment and stay involved through renewals.
Sovereign AI means the data, models, compute and operations behind your AI stay under your organization's control, in a jurisdiction and on infrastructure you approve, and you can change providers without losing what your AI has learned.
No. Banks, health systems, manufacturers and IP-rich companies use sovereign AI to keep regulated data and proprietary models off shared platforms. Defense and government programs add requirements such as CUI, ITAR and CMMC.
Not necessarily. Options range from business AI products with strict data terms, to cloud AI in a region you choose, government clouds, dedicated GPU capacity, sovereign infrastructure providers and your own data center. The right choice depends on the most sensitive data each workload touches.
Private cloud usually means dedicated or logically separated resources from a provider. Sovereign AI also covers which jurisdiction applies, who can access and operate the environment, who owns your models and what they learn, and whether you can verify isolation and residency yourself.
Nothing to you for standard advisory services. MALA is paid by providers, never by you, and you are never required to choose a participating provider.
Bring an AI initiative, a data question or a renewal. We'll tell you what the sovereign AI market looks like and where to start.
No fee to you: MALA is paid by the provider only if you move forward with a provider we recommend. No obligation to do so.