KeepFlying's Generative & Predictive AI gets your datasets LLM ready to generate ROI across your business needs.
Merge Agentic Workflows into business processes (e.g. Aircraft Transition Monitor) in the FinTwin
Auto Cross-referencing and presenting source documents to confirm relevance
Run "what-if" scenario questions to assess decision impact
Consume unstructured records against Aircraft, Engines, LLPs, Lease Documents, Supply Chain data and ask questions
Take advantage of pre-trained Aviation Language Models to index, reference and extract context-relevant data
Configure workflows based on pre-trained checklists (e.g. Pre Bid / Pre Purchase Inspections, QA Assessment) and drive output
Built for aviation’s complex data landscape, the Extraction Agent transforms unstructured data into structured insights with 90%+ accuracy.
Image & PDF Extraction (OCR, handwriting, scanned docs)
Text Parsing (JSON, TXT, XML, CSV)
Excel & Semi-Structured Data Processing
Gives aviation data meaning by aligning it with industry standards and uncovering hidden patterns.
Domain-Specific Data Transformations
Advanced Feature Engineering & Computations
The brain of the ecosystem, it turns processed data into decisions using cutting-edge, explainable AI.
Knowledge Graphs & Context-Aware AI
Predictive Maintenance & Risk Assessment
Real-Time Decision Support
Image & PDF Extraction (OCR, handwriting, scanned docs)
Text Parsing (JSON, TXT, XML, CSV)
Excel & Semi-Structured Data Processing
Domain-Specific Data Transformations
Advanced Feature Engineering & Computations
Knowledge Graphs & Context-Aware AI
Predictive Maintenance & Risk Assessment
Real-Time Decision Support
FinTwin® & SkyBot™
KeepFlying can interface with M&E/MRO systems like AMOS, Trax, OASES, Gannet, Ramco, Veryon; Records systems such as FlyDocs, ROAM, Google Drive/Box/One Drive/Share Point; ERP software suites including Oracle, SAP, Microsoft
Unstructured Data transformation into a usable format enabling a library of Aircraft and Engine data optimized for scalability and usability
Data patterns and physics informed AI/ML that drives efficient streaming of datasets specific to each Aircraft and Engine Type
KeepFlying ® AI Library for efficient, training, fine-tuning and evaluating models against Aircraft and Engine data sets
Model Explainability to support evaluating quality and accuracy of machine learning models.
Performance Stress-testing to ensure that the deployed models are the most efficient for training, fine-tuning and deploying large models at scale against future use cases.