Finally,

AI you can trust. 

On-premises AI is artificial intelligence that runs on hardware located at your site and controlled by your organization. Models, data, and outputs stay inside your environment instead of being processed by a third-party cloud provider. Premsys designs, deploys, and supports on-premises AI systems, which we call Private AI Systems, for healthcare, finance, and industrial organizations. This approach is also called local AI or private AI.

Cloud AI tools send your prompts and documents to an outside provider for processing. Enterprise plans add contractual protections, but your data still leaves your environment, and you inherit the vendor’s retention, logging, and subprocessor policies. For organizations handling PHI, client financial data, or proprietary operational data, that adds risk and compliance overhead. A Private AI System keeps inference on hardware you own, so data ownership, access, and audit trails stay with you. Each system is configured to your workflows and built to support your regulatory obligations.

When using a Premsys System, no sensitive data is ever shared, retained, or used to train third-party AI models, or kept on a cloud server, ever.

In addition, no generated outputs will ever be processed from or in an AI datacenter. 

These systems handle the same high-value work as cloud AI, on your own infrastructure. Common uses include:

• Extracting and summarizing information from EHRs and clinical documentation

• Interpreting images, scanned documents, and forms

• Answering questions across internal company files with RAG, or retrieval-augmented generation (learn more)

• Supporting non-device clinical decision support workflows

• Portfolio analysis, operations, and reporting for finance teams

• Data analysis and decision support for industrial operators

Each capability can run as agent(s) that complete multi-step tasks or as an assistant your team directs manually, depending on your AI roadmap and aspirations. 

Yes. Premsys Systems are HIPAA-aligned by design. PHI is processed on hardware inside your environment, encrypted at rest and in transit, and never used to train third-party AI models. Deployments include access controls and audit logging configured to support your HIPAA Security Rule safeguards. See healthcare solutions.

Yes. Running AI on infrastructure you control supports your GLBA obligations for safeguarding customer information. Because customer data is not sent to an outside AI provider, it also narrows the third-party risk review required under the 2023 Interagency Guidance on Third-Party Relationships. See finance solutions. 

Premsys Systems run on Apple Silicon via MLX or NVIDIA GPUs via CUDA, sized to your team, workload, and site. Smaller deployments use compact, power-efficient Mac clusters. Larger teams use multi-GPU NVIDIA rack servers built for many concurrent users. Your organization owns the hardware.

You pay for hardware once instead of paying per token. At moderate to heavy usage, a system can pay for itself within months. Use the ROI calculator above to estimate break-even at your volume. At lighter usage, the case rests on compliance, control, and predictable costs as your AI usage grows. There is no per-token API billing.

In as little as six weeks. Deployment covers secure data preparation, physical installation, industry-specific model configuration, and team training. Ongoing Concierge Support is available after launch.

Yes. You retain full ownership of your data, outputs, and IP. Inference runs on your hardware, and your data is never used to train third-party AI models. Client data, PHI, and PII are encrypted at rest and in transit. Data reaches an outside service only if your team chooses to connect one.

No. The 30-minute consultation is free. A Premsys rep will review your workflows, identify where on-premises AI fits, and outline next steps.