Intelligent Document Platform
A cloud-native platform that turns archives of unstructured documents, PDFs, scans and Office files, into searchable, secure knowledge. It's engineered as a fully serverless system that runs in production on both AWS and Azure with the exact same product experience.
- Industry
- Enterprise · Document Management
- Discipline
- Cloud / AI Platform
Technologies used
Platform overview
The platform handles the document lifecycle: ingest, process, search and retrieve. A core API orchestrates everything, while a set of focused, event-driven background jobs each own one task, extracting text from documents and indexing it for search. Because the work is broken into independent steps wired together by events, the system scales elastically and stays resilient.
The challenge
Organizations sit on huge archives where the information is effectively locked away inside files. The client needed to ingest documents at scale, make their contents searchable, and let teams find any piece of information in seconds, while meeting strict security and audit requirements, integrating with the tools they already use, and avoiding lock-in to a single cloud vendor.
Ingestion & secure storage
Files are uploaded through a secure, authenticated API and kept encrypted in cloud storage. Office documents are automatically standardized so everything flows through one consistent processing path, and files are only ever retrieved through signed, time-limited links.
Automatic text extraction
Each document is run through OCR, Amazon Textract on AWS and Document Intelligence on Azure, to pull out its text, including from scans and images. As soon as a file lands, an event-driven job picks it up and extracts its content automatically, so even non-searchable scans become fully readable text.
Intelligent search
Extracted text is indexed into a search service, Amazon OpenSearch on AWS, Azure AI Search on Azure, and a dedicated query layer supports rich searches with full-text, wildcard and logical (AND/OR) operators, so users can pinpoint exactly the documents they need in seconds rather than scrolling through folders.
Stays in sync with your systems
The platform fits into real workflows. Scheduled batch jobs keep it in sync with SharePoint, pulling in updated files and removing deleted ones across storage, the database and the search index together, and built-in safety-net jobs reconcile state and re-deliver any results that didn't land the first time.
Multi-cloud, by design
The same product runs on both AWS and Azure, using each cloud's storage, OCR and search services. The whole environment is defined as code, and a single automated pipeline builds each service once, security-scans it, and ships it to both clouds. The result is genuine portability and no vendor lock-in.
Extensible with optional AI modules
Beyond the core platform, optional add-on modules can layer on extra intelligence, such as AI summaries, translation and media transcription. These are kept separate from the main package so the core stays lean, and they can be switched on for clients who need them.
Key features
Outcomes
- Scanned and digital documents become searchable within seconds of upload.
- Processing is fully automatic and event-driven, nothing waits on a person.
- Zero standing servers to patch; the system scales itself on demand.
- Security-first design with encryption, signed access and audit trails.
- True cloud portability across AWS and Azure, with no vendor lock-in.
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