AI Service

Document Intelligence

Quantum Altus builds document intelligence pipelines that turn unstructured invoices, contracts, and forms into structured, searchable, actionable data.

Discuss Document Intelligence
Who It's For

Built For Teams Like Yours

Finance teams manually processing invoices, receipts, or purchase orders
Legal and compliance teams reviewing large volumes of contracts
Logistics and operations teams handling bills of lading, customs forms, or manifests
HR teams processing resumes, applications, or onboarding paperwork at volume
Any company still keying data from PDFs or scans into a system by hand
The Problem

Business Problems We Solve

Staff spend hours manually keying data from invoices, forms, or contracts into systems
Important terms buried in long contracts get missed during manual review
Scanned or handwritten documents are effectively unsearchable and unusable as data
Manual data entry from documents introduces costly errors
Document backlogs delay downstream processes like payment or approval
What Quantum Altus Delivers

What You Get

1

Custom document extraction pipeline for your specific document types

2

AI-powered classification sorting incoming documents automatically

3

Structured data output integrated directly into your ERP, CRM, or database

4

Contract review tooling that flags key terms, dates, and risk clauses

5

Human review interface for low-confidence extractions

6

Searchable document archive built from previously unstructured files

Key Capabilities

Features & Capabilities

Optical & AI-Based Extraction

We combine OCR with AI models to extract data accurately from scanned, photographed, or digitally native documents. This works across messy real-world document quality, not just clean PDFs.

Automatic Classification

Incoming documents are automatically sorted by type, such as invoice, contract, or application, and routed to the right workflow. This removes manual sorting from the front of the process.

Structured Data Output

Extracted data is delivered as structured fields ready to load directly into your ERP, CRM, or database. No more re-typing information that already exists on a document.

Risk & Anomaly Flagging

For contracts and financial documents, the system flags unusual terms, missing clauses, or values outside expected ranges. This catches issues a rushed manual review might miss.

Confidence-Based Human Review

Extractions below a confidence threshold are routed to a person for verification instead of being trusted blindly. This keeps accuracy high while still automating the bulk of the work.

Searchable Archive

We turn historical document archives into searchable, structured data so past records become usable instead of sitting in a folder. This makes audits and lookups dramatically faster.

Technology

Tech Stack

PythonClaude APIAWS TextractGoogle Document AITesseract OCRLayoutLMPostgreSQLElasticsearch
Benefits

Why It Matters

Dramatic reduction in manual data entry from documents
Faster processing time from document receipt to actionable data
Fewer errors from manual transcription
Contract terms and risks surfaced automatically instead of missed
Historical document archives made searchable and usable
Downstream processes like payment or approval unblocked faster
Delivery Approach

How We Deliver This

1

Discovery

Collect sample documents and define required extracted fields

2

Design

Architect the extraction, classification, and review pipeline

3

Build

Develop and train the extraction models on your document types

4

Test

Validate extraction accuracy against a large sample of real documents

5

Launch

Deploy with human review active for early-stage quality assurance

6

Support

Retrain and tune models as new document formats appear

FAQ

Document Intelligence — FAQ

Yes, we combine OCR with AI models specifically to handle scanned, photographed, and in many cases handwritten documents. Accuracy on handwriting varies by legibility, which we assess during discovery using your actual samples.

Ready to talk about document intelligence?

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