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Glossary

What is on-premisedocument processing?

On-premise document processing runs the entire pipeline (OCR, AI models, validation, review) on your own infrastructure: documents never leave your environment.

Definition

Your servers, the whole stack.

On-premise means the software, including the AI models doing extraction, runs on infrastructure you control: your data center, your private cloud, or fully air-gapped networks with no internet access at all. No document, page image, embedding or extraction result leaves your environment.

The historical objection was practicality: enterprise capture suites made on-premise a months-long services project. Modern container-based platforms changed that; the deployment is a configuration, and local LLMs closed the last gap by making extraction quality available without cloud APIs.

Everything local

OCR, models, storage, review interface: the full pipeline, not a hybrid that phones home.

Air-gap capable

Regulated and classified environments run without any outbound connectivity.

Local AI models

Extraction runs on models deployed in your environment, so quality does not require a cloud API.

In practice

On-premise with MiruIQ.

MiruIQ ships on-premise today, local models included, with the same pipelines, schemas and review workflow as the hosted version; the choice is per deployment, and public plans mean it is not gated behind enterprise sales.

FAQ

On-premise document processing questions

What infrastructure teams ask about on-premise.

Why do teams require on-premise document processing?

Because the documents are the sensitive data: medical records, payroll, legal files, government applications. Regulation, client contracts or risk policy then demand that processing happens inside the organization's boundary. On-premise removes the discussion entirely: nothing leaves, so nothing needs a transfer justification.

Can LLM-based extraction really run locally?

Yes. MiruIQ runs extraction on local models deployed in your environment, sized to the task. The quality gap to frontier cloud models has narrowed sharply for structured extraction, and the remaining difference is handled the same way as everywhere else: validation plus human review for the uncertain rest.

Start now

See it on your own documents.

The 14-day free trial covers 200 documents: enough to define your schemas, run real files and measure the results before anyone calls you.