Drowning in PDFs? AI gets you out.
We build AI document processors that extract data from invoices, contracts, applications, claims, and any other PDFs — accurately, at scale, with the structured output your downstream systems need.
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The Problem
Document processing is one of the most expensive forms of busywork in modern business. Insurance claims, legal contracts, accounts payable invoices, mortgage applications, medical records, lease agreements — every industry drowns in PDFs that need to be read, classified, and entered into systems.
Old approaches don’t work. Manual entry is slow, error-prone, and miserable. Traditional OCR is brittle and breaks on any layout it hasn’t seen before. Outsourcing is expensive and slow.
AI vision and language models read documents the way a smart human does — they understand context, they handle messy layouts, they extract what matters even if it’s labeled differently than expected. Combined with validation rules, they hit accuracy rates that beat human teams while processing 100x faster.
Curious if this fits your business?
Book a free 30-minute AI Audit. We’ll identify 1-3 specific opportunities with clear ROI estimates. No pitch, no slides.
Book Your Free Audit →What We Build
We build custom document processing pipelines tuned to your specific document types and workflows. Each pipeline reads incoming documents, extracts the data fields you care about, validates them against business rules, flags anomalies, and pushes the cleaned data into your accounting system, CRM, ERP, or wherever it needs to go.
What used to take a team of 5 people now takes a single workflow that runs in seconds per document, with audit trails and exception handling for the edge cases.
Built for results, not demos
Every system we build has measurable success criteria from day one. We don’t ship pretty UIs that no one uses — we ship outcomes.
Your team gets a working solution that fits the way you actually run, with full documentation, training, and our team on call when something needs tuning.
How It Works
Document analysis
We collect samples of your real documents and identify the fields, layouts, and edge cases we need to handle.
Build the extractor
We train and prompt-engineer the extractor for your specific document types — accuracy, not generality, is the goal.
Validation & business logic
We add validation rules (totals match, dates valid, vendor known, amounts within range) so bad data never enters your system.
Integrate & monitor
Connect to your inbox, document management, ERP, etc. Monitor accuracy and flag anomalies for human review.
What It Looks Like
Where This Wins
Accounts Payable
Invoices in, GL coding out — automatically. PO matching, duplicate detection, approval routing all built in.
Insurance Claims
First notice of loss, medical bills, repair estimates — extracted into your claims system at intake speed.
Legal Operations
Contract review, clause extraction, compliance flagging, MSA tracking — across thousands of documents in minutes.
Mortgage & Lending
Application packages, income docs, tax returns, bank statements — parsed into your underwriting system automatically.
The compounding effect
Most AI projects deliver one-time gains. Ours compound. As more of your operations run through AI systems, the data they collect makes them sharper week over week.
Six months in, you’ll be running circles around competitors who are still doing the work the old way.
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Why demelos
Built for your docs
We tune the extractor on your specific document types and layouts. Accuracy beats generic OCR by a wide margin.
Validation that works
Wrong totals get caught. Dates that don’t make sense get flagged. Bad data never enters your system silently.
Scales without headcount
Whether you process 100 docs a day or 100,000, the system handles the load without hiring.
Questions, answered
Typically 95-99% for well-defined fields after tuning. Confidence scores let you auto-process high-confidence extractions and route low-confidence ones for human review.
Yes, though accuracy drops with quality. We build appropriate confidence thresholds and human-in-the-loop review for edge cases.
QuickBooks, NetSuite, SAP, Salesforce, custom ERPs, Google Sheets, databases — basically anywhere with an API or import format.
Yes. We architect for privacy and compliance. Documents can be processed in your environment if needed (HIPAA, SOC2, etc.).
2-4 weeks for most document types. Higher complexity (legal contracts, tax forms) takes longer.
Routed to a review queue with the extracted fields pre-populated. A human can correct and submit in seconds rather than starting from scratch.
