Services
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
How We Work
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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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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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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