Case Study - AI - Technology

On-Premise AI Document Intelligence Deployment

About the client

Q-Solutions, a product engineering company that has delivered software to clients in more than ten countries since 2008, reached out to Providus.

The company helps businesses launch products, automate operations, and modernize legacy software, and much of that work runs on documents. However, its documents had to stay on its own infrastructure, which ruled out cloud-based document AI tools. They required a document AI platform they could run and license in-house.

On-Premise AI Document Intelligence Image

Strict Data Residency & Privacy Needs
Q-Solutions did not want their documents or intelligence to move beyond their servers. Both the platform and AI models had to run on its own hardware.
Accurate, Verifiable Outputs
Despite requiring an on-premises document AI solution, Q-Solutions wanted every output to be accurate, contextual, and verified against its source. An extracted value without proper reference was of no use to them.

What We Delivered

We deployed DocAI on-premises on Q-Solutions’ servers as web, middleware, and core Docker images with a Postgres database. Local models run through LM Studio or Ollama. DocAI converts each document into structured markdown and JSON with page images and bounding boxes, so every field and answer links to its exact location in the source file.

All Technologies Used

The Results

Licensed In-House DeploymentQ-Solutions runs DocAI under a license, and no document or model leaves its hardware.
Source-Linked OutputsEvery extracted field and answer points to its exact place in the original document.

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