AI / Machine Learning / nn-10
Neural Document Layout Parser
Converts enterprise data into faster decisions, measurable quality gains, and defensible automation.
Commercial Scale
$20,750 USD
Risk Reduced
Automation Reliability
Executive Situation
Back-office processors were manually extracting invoice, certificate, and bill-of-lading fields from inconsistent scanned document layouts.
Modular Solutions Response
We fine-tuned layout-aware transformers on bounding boxes, OCR tokens, and document class labels. The parser returns normalized fields, confidence scores, and exception reasons for low-certainty pages requiring human validation.
Industry
Finance
Category
Neural Networks & Deep Learning
Specialty
Optimized
Evidence Basis
Model + MLOps
parameters
426M layout transformer
latency
318ms per page
training
84 GPU hours
loss
L = CE(token) + SmoothL1(box)
Enterprise Security Gate
Network Access Restricted.
Detailed files, client-specific assumptions, and delivery channels remain controlled.