Your AI. Your Infrastructure. Your Rules.
Run AI systems on your own infrastructure or on EU-sovereign cloud. No data leaves your perimeter. No foreign jurisdiction applies. You control every layer, from model weights to inference logs.
Controlled
Data residency
Eliminated
Vendor lock-in
Strengthened
Regulatory posture
Why Sovereignty Matters Now
AI adoption is accelerating. So is the regulatory pressure around it. Organizations that build on infrastructure they control today avoid costly retrofitting when new requirements hit.
Jurisdictional Exposure
Every AI workload processed through a US-headquartered provider falls under the CLOUD Act and FISA Section 702, regardless of where the data center sits. No contractual clause can fully resolve this. It is a structural legal reality.
Regulatory Trajectory
The EU AI Act, NIS2 Directive, and sector-specific frameworks like DORA all push toward stricter requirements for AI transparency, auditability, and data governance. Building compliance into your architecture now is cheaper than retrofitting it later.
Intellectual Property Exposure
Proprietary documents and domain knowledge that flow through third-party inference APIs become training signals you cannot audit or retract. Sovereign deployment keeps your intellectual property in systems you own.
Concentration Risk
A single AI provider means you inherit their outages, pricing changes, and deprecation decisions. Open-source models let you switch providers, adapt, or scale on your own terms.
Choose Your Level of Control
Not every workload needs the same deployment model. We help you place each AI capability where it belongs: matching security requirements to operational needs.
Concrete Deliverables, Not Slide Decks
We build and deploy AI systems. Our team covers model deployment, MLOps, and AI engineering. For infrastructure, we partner with providers who specialize in compute.
On-Premise LLM Deployment
We deploy and optimize open-source language models on your hardware. For core enterprise tasks like RAG, document processing, knowledge retrieval, and structured extraction, these models deliver comparable results to proprietary alternatives. Your data stays in your network.
EU-Sovereign Cloud Architectures
Full AI platform design on European cloud infrastructure. We set up redundancy across EU providers, implement data residency controls, and deliver production environments that satisfy GDPR, NIS2, and sector-specific requirements.
Hybrid Routing & Orchestration
Middleware that routes AI workloads based on data classification, cost, and latency. Sensitive inference stays on-premise. Non-critical processing scales to EU cloud. You define the policies, the system enforces them.
Compliance & Governance Frameworks
Audit-ready documentation, model cards, data lineage tracking, and access controls aligned to the EU AI Act risk classification framework. Governance is part of the architecture, not bolted on after the fact.
Built for Sectors Where Data Sensitivity Is Non-Negotiable
Healthcare & Life Sciences
Patient records, clinical trial data, and diagnostic systems fall under strict data protection rules. Sovereign deployment keeps you compliant with GDPR health data provisions and national healthcare regulations.
Financial Services
Trading algorithms, risk models, and customer financial data fall under DORA, MiFID II, and national banking regulations. Sovereign AI keeps financial inference in environments you can audit and control.
Defense & National Security
Classified workloads need air-gapped infrastructure with zero external dependencies. We deploy AI within existing secure environments and meet national security accreditation requirements.
Government & Public Sector
Citizen data, policy analysis, and public service automation need EU-sovereign infrastructure. We help government agencies deploy AI that meets public procurement standards and data sovereignty mandates.
Legal & Professional Services
Attorney-client privilege and case strategy documents cannot flow through third-party APIs. On-premise deployment preserves confidentiality obligations while enabling AI-assisted legal work.
Critical Infrastructure
Energy grids, telecommunications, and transport systems fall under NIS2 requirements for operational resilience. Running AI on sovereign infrastructure means the intelligence layer does not become a single point of failure.
Common Misconceptions, Honest Answers
Sovereign AI generates strong opinions. Here is where we stand.
Going sovereign means falling behind on AI capabilities.
The open-source model ecosystem moves fast. New releases close the gap with proprietary models every few months. And because you control the stack, you can swap in a better model the day it drops, without waiting for a vendor to support it.
Open-source models can't match proprietary ones.
For general-purpose reasoning, the gap still exists. But for the enterprise workloads that matter most (RAG, document processing, domain-specific knowledge retrieval) open-source models deliver comparable results when properly fine-tuned.
You need to rip out your existing cloud setup.
Most of our engagements are hybrid. We help you identify which workloads need sovereign deployment and which are fine where they are. The goal: sensitive AI workloads run on infrastructure that matches their risk profile.
We can just do this ourselves.
You could, if you have a team with production experience in LLM deployment, MLOps, model optimization, and compliance engineering. Most organizations do not. That is why ReBatch exists: we handle the AI engineering so your team can focus on domain problems.
Related Services
Ready to Take Control?
Whether you need an air-gapped on-premise deployment or a hybrid architecture, we help you build AI systems that you own. No vendor lock-in. No jurisdictional grey areas.