Financial Twin for
FinTwin® fuses unstructured airworthiness and maintenance data with AI-tuned validation pipelines, turning aviation's most complex records into validated financial intelligence.
Current Landscape
Data that highlights the real problem

USD 2 Million
Airlines spend over USD 2 Million per Narrow Body Redelivery

USD 250,000
Engine MROs miss out on over USD 250,000 in bottom line per Engine Overhaul

USD 50,000
Lessors spend over USD 50,000 per Aircraft or Engine Records Inspection
Process Airworthiness & Maintenance Data Faster
KeepFlying's Generative & Predictive AI gets your datasets LLM ready to generate ROI across your business needs.

LIVE DASHBOARD • REAL-TIME INSIGHTS
Intelligent Processing
Advanced AI algorithms process complex aviation data with 95%+ accuracy, transforming maintenance operations.
Real-Time Insights
Live dashboard updates with instant visibility into maintenance operations and predictive analytics.
Measurable ROI
Track cost savings and revenue optimization across all operations with detailed financial insights.
Agentic AI, Aviation LLMs
Unlock the full potential of your aviation data through our specialized AI agents, each designed to extract, understand, and apply intelligence at scale.
SkyBot™
AI-Powered Aviation Assistant
FinTwin®
Financial Digital Twin Platform
Our AI Agents
Unveiling Hidden Data
Built for aviation's complex data landscape, the Extraction Agent transforms unstructured data into structured insights with 90%+ accuracy.
Use Cases
Transforming aviation operations across all sectors
Bid To Cash
- 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
Digital Engine Induction
- 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
Scrap Rates
- 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
Engine Cost Build-up
- 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
How we do it?
Our Partnerships
Built alongside the world's leading data, cloud, and enterprise technology ecosystems.


