AeroGenie — Your Intelligent Copilot.
AVIATION DOCUMENT INTELLIGENCE
Automatically classify and extract complex aviation documents at scale.
Replace manual tagging with API-based, context-aware classification and high-accuracy extraction. Process thousands of pages in seconds, with outputs you can trust.
THE PROBLEM
Manual classification does not scale, and mistakes are expensive.
Aviation document handling is not simple labeling. Classification depends on applicability, revision, scope, and details like tail number. Manual review is slow, inconsistent, and hard to audit.
Before
Manual. Inaccurate. Expensive.
Humans review and tag documents. Results vary by person and workload. Errors propagate into compliance and ops.
After
Automated. Fast. Cost-Effective.
Automatic classification and extraction in seconds, at enterprise scale, with traceable, verifiable outputs.
Our Performance Stats
Built by aviation experts for aviation experts.
Document AI classifies and extracts information with context, so outputs are useful for search, analytics, and RAG workflows. It stays accurate on degraded scans and complex formats, including dense tables and multi-column layouts.
What makes it different
Unlike traditional OCR, it understands hierarchy and context and uses relationships across documents. Outputs link back to source files for transparent verification.
Context-aware extraction Inter-document signals Source-linked outputs RAG-ready structure
Coverage
Identifies critical fields across common aviation records and technical documents.
8130-3 / EASA Form 1 Airworthiness certs IPCs Maintenance manuals
Logbooks Warranty records
API-first delivery
Fast integration into existing systems and lower operational cost at scale.
Simple REST APIs Batch and streaming Easy to automate Cost-efficient processing
Ingest, classify with context, extract, deliver.
Document AI uses AI to understand structure, hierarchy, and relationships across documents. Unlike traditional OCR, it uses AI to understand context, inter-document relationships, and hierarchical structures, producing stronger inputs for embeddings and RAG. Outputs link back to source files for transparent verification.
Ingest documents
Connect to existing stores and handle frequent updates.
Classify with context
Use content plus applicability signals, not simple labels.
Extract key fields
Capture structured values needed for compliance and operations.
Publish outputs
Deliver structured data to APIs, indexing, and downstream systems.
API-based, machine learning at scale.
Incoming Document
IDP Solution
Image Pre-processing
Auto-crop, noise reduction, etc.
Data Capture
Computer vision and OCR
Indexing and Classificastion
Text mining and machine/deep learning
Extraction of Relevant Data
NLP and machine/deep learning
Data Validation
Pre-defined taxonomies, business validation rules, etc.
Generates report on processed data for human verification
Feeds output (structured data) into downstream applications
Without proper certification and traceability, parts and records cannot be used.
In aviation, documentation determines whether a part can be installed, moved, or sold. Missing or inconsistent records can ground otherwise serviceable inventory. Rotables and component histories depend on complete documentation across sub-components and certifications.
Document AI keeps certification and supporting records linked to the data they produce, so teams can trust what they use and act quickly when it matters.
Enterprise-Grade Security
Experience the power of conversational AI designed specifically for aviation professionals
Turn aviation documents into trusted, usable data
See how Document AI can reduce manual effort, improve accuracy, and increase traceability at scale.
