Mentis Aviation Group and KeepFlying® Form Joint Venture To Launch AI-driven Aviation Aftermarket Platform in Greater China
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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
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Domain-Specific Data Transformations
Advanced Feature Engineering & Computations
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Knowledge Graphs & Context-Aware AI
Predictive Maintenance & Risk Assessment
Real-Time Decision Support
FinTwin® & SkyBot™
Stress Test Contract NTEPs - FP, T&M elements
Compare Production Plan Simulations from Prospecting to Slot Sale
Predict Work Scope escalations
Simulate Shop Visit Costs & Profitability
∘ Bid Managers
∘ Commercial & Contracts
Induct Incoming Engine files digitally (PDF, Excel, Word)
Periodically update Engine data to impact simulation results
Consume Engine data in Spec2500 format
Update Production Plans to stress test capacity & TAT impact
∘ Engineering
∘ Production Planners
Link Technical, Environmental and Operational parameters to Asset based on Operational Routes
Predict Scrap Rates of components through 'what-if' simulations
Feedback Scrap Rate NTEP to commercials for Contract terms
Customize scrap rate models and parameter weightages to suit your operations
∘ Engineering
∘ Supply Chain
Track Engine Cost Build up through interface with WIP ERP data
Track real-time slot profitability
Deploy Advanced Planning & Scheduling Algorithms to assess impact on Costs, TAT
Predict slot profitability based on WIP data - assess mitigation options
∘ Shop Floor
∘ Finance
Ingest, process and update digital records (PDF, Excel, Word) from CMS automatically
Chat with your documents to search, retrieve references (CAMO CoPilot)
Update records by ingesting PDFs through lessee portals periodically (e.g. monthly utilization reports)
Auto-generate LLP back-to-birth records
∘ Engine Asset Managers
∘ Fleet Managers
Link projected utilization scenarios to simulate DMC per FH, LLP Costs per FC
Simulate impact of phase out conditions
Assess impact of USM on projected costs
Update Production Plans to stress test capacity & TAT impact
∘ Engine Asset Managers
∘ Commercial
Link Technical, Environmental and Operational parameters to Asset based on Operational Routes
Predict Scrap Rates of components through 'what-if' simulations
Assess impact of USM on projected costs
Customize scrap rate models and parameter weightages to suit your operations
∘ Engineering
∘ Supply Chain
Assess Residual Value risk of powerplant through 'what-if' simulations
Interface with 3rd Party Supply Chain systems to reflect dynamic pricing of parts
Simulate End of Life scenarios
∘ Engine Asset Managers
∘ Finance
Stress Test Contract NTEPs - FP, T&M elements
Compare Production Plan Simulations from Prospecting to Slot Sale
Predict NRCs
Simulate Visit Costs & Profitability
∘ Bid Managers
∘ Commercial & Contracts
Accurate task level forecasts to assist Discrete Optimization driven scheduling for TAT Risk Mitigation.
Material Control Impacts on Task Delivery& Estimated Delivery Dates of Material adversely affecting the Visit Plan.
Simulate and mitigate risks as a factor of manpower, material and services
∘ Engineering
∘ Supply Chain
Capture tasks estimated to take longer than a specific threshold (10hrs)
Introduce an Approval Workflow for these tasks
Capture approval sign-off for each task to ensure that tasks are approved by internal and external parties.
Provide a dashboard to offer single source of truth status tracking of approvals.
∘ Production Planners
∘ Customer Account Managers
Interface with live WIP data to forecast risks and critical paths
Deploy Advanced Planning & Scheduling Algorithms to assess impact on Costs, TAT
Global Dashboards to communicate the hangar plan, visit plan and man-power resource budget and ‘spend’ to staff members across the business
∘ Engineering
∘ Production Planners
Ingest, process and update digital records (PDF, Excel, Word) from CMS automatically
Chat with your documents to search, retrieve references (CAMO CoPilot)
Update records by ingesting PDFs through lessee portals periodically (e.g. monthly utilization reports)
∘ Fleet Managers
∘ Technical Records
Process scanned task cards to check for completeness - e.g. signatures, removal records, ARCs etc.,
Compare Tally Sheets with Task Cards to validate completeness
Validate HTC, OCCM component certifications
∘ CAMO
∘ Tech Services
Process Utilization reports & Lease Agreements automatically
Compare reported utilization with lease terms to check for operational and administrative alerts
Verify reported utilization with ADS-B data for variances
Interface with CMS to raise MR Invoices
∘ Fleet Managers
∘ Finance
Compare "as-is" and" to-be" delivered statuses to create transition ROM costs
Track status of Components, LLPs, AD/SB/MODs against redelivery conditions to project potential violations
Dynamically ingest updated records to reflect redelivery plans & statuses
∘ Fleet Managers
∘ Lease Managers
Track Min-Max and Safety Stock levels dynamically
Assess & Optimize Inventory Holding & Carry Over Costs
Simulate seasonal, non-stationary and intermittent demand
Assess vendor grouping for purchase price optimization
∘ Inventory Managers
∘ Procurement Managers
Ingest & process vendor documentation automatically
Track performance of vendors against agreed SLAs
Assess warranty and claims opportunities
Enable Spec2000 Chapter 14 Warranty Claims workflows
∘ Procurement Managers
∘ Quality
Assess AOG Risk by MSN based on Reliability data and current inventory levels
Expedite repairs to avoid high procurement costs
Assess and streamline AOG procurement costs through RCA
∘ Reliability
∘ Procurement Managers
Rate vendors through Pricing, Lead Time& Quality metrics
Optimize shipping costs through smart grouping of procurement by vendors
Trigger renewals of vendor approval processes automatically
∘ Procurement Managers
∘ Quality
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.
April 3, 2025
by
KeepFlying
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April 3, 2025
by
KeepFlying
April 3, 2025
by
KeepFlying
Enabling AI driven Digital Financial Twins for the $170B Aircraft Asset Management Industry
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