Services
Sovereign AI Infrastructure Development
Sovereign AI Infrastructure Development
Design and deployment of localized data centers, air-gapped machine learning models, and region-locked AI infrastructure ensuring data processing confined within specific geopolitical boundaries to comply with the EU AI Act and emerging state-level mandates. Sub-services include FedRAMP-compliant LLM hosting, EU AI Act compliant sovereign AI development, air-gapped Generative AI for defense contractors, and localized AI hardware segmentation consulting.
Sovereign AI Data Center Design
Architecting and engineering localized, secure data center infrastructure from the ground up, ensuring all AI compute, storage, and networking hardware is physically and logically segmented within sovereign borders to meet strict data residency and geopolitical mandates.
Air-Gapped AI System Deployment
Designing and implementing fully isolated AI training and inference environments with no external network connectivity, providing the highest security assurance for defense, intelligence, and critical infrastructure applications where data exfiltration is unacceptable.
Sovereign AI Cloud Architecture
Building private or hybrid cloud platforms using technologies like OpenStack or Kubernetes that are entirely contained within a specific jurisdiction, enabling scalable AI workloads without reliance on international public cloud providers.
FedRAMP-Compliant AI Infrastructure
Engineering AI hosting environments that meet the stringent U.S. Federal Risk and Authorization Management Program (FedRAMP) security controls, enabling government agencies and contractors to deploy AI with authorized cloud services.
EU AI Act Compliant AI Development
Implementing the technical and architectural safeguards required by the EU AI Act for high-risk AI systems, including logging, human oversight, and robustness measures, within sovereign EU-based infrastructure.
Sovereign AI Hardware Segmentation
Procuring, configuring, and managing dedicated AI accelerators (GPUs, NPUs) and compute clusters that are physically reserved for a single sovereign entity, preventing resource sharing and ensuring performance isolation and supply chain integrity.
Sovereign AI Network Isolation
Designing and deploying secure network architectures—including VLANs, firewalls, and software-defined perimeters—that logically separate sovereign AI workloads from other traffic and enforce strict data flow policies across borders.
Sovereign AI Data Residency Assurance
Implementing technical controls, data tagging, and policy enforcement engines to guarantee that all training data, model weights, and inference outputs never leave a designated legal jurisdiction, with provable audit trails.
Sovereign AI Disaster Recovery Planning
Developing geographically contained failover and backup strategies for critical AI systems that maintain sovereignty requirements even during a disaster, ensuring business continuity without cross-border data transfer.
Sovereign AI MLOps Implementation
Building and operating a complete, sovereign machine learning lifecycle platform—including version control, CI/CD, and monitoring—that runs entirely within a localized environment, enabling compliant model development and deployment.
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How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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Review the use case
We understand the task, the users, and where AI can actually help.
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Pick the right approach
We define what needs search, automation, or product integration.
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Build the first useful version
We implement the part that proves the value first.
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Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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