An AI-powered platform for helicopter fleet operators — forecasting maintenance needs before failure, turning flight logs into instant recommendations, and letting technicians search years of manuals in plain language. Runs fully standalone, with no cloud dependency.
Unplanned failures, manual snag write-ups, and hours spent searching paper manuals slow every maintenance decision down — and crew scheduling gets harder as fleet size and mission tempo grow.
Failures are addressed after they occur rather than predicted from flight and engine telemetry.
Technicians manually categorise faults and cross-reference manuals with no structured record.
Balancing trades, qualifications, and aircraft schedules by hand is slow and error-prone at scale.
Flight telemetry and maintenance history feed a continuously-retrained model that turns raw data into a ranked recommendation the moment a flight log is entered.
Flight hours, engine metrics, and maintenance history are captured per aircraft.
→Models forecast upcoming maintenance needs and categorise reported snags automatically.
→A ranked, evidence-linked recommendation reaches the dashboard within seconds.
Forecasts failures from flight and engine telemetry before they occur.
Categorises free-text fault reports and surfaces the likely root cause.
Pushes maintenance guidance to the dashboard moments after a flight log is entered.
Natural-language search across manuals and policies, with a conversational assistant.
Optimised rotation and team-allocation plans generated from trades and availability.
Five independently maintainable layers, designed to run entirely on a single secured workstation with no internet dependency, and to extend across a local network as fleet size grows.
Log entry, snag reporting, and instant access to AI-generated recommendations.
Flight log submission and post-flight recommendation visibility from the field.
Reports, dashboards, crew planning views, and trend analysis across the fleet.
Designed for environments where connectivity can't be assumed and data cannot leave the premises.
Fully standalone deployment — no server, no internet dependency.
Extendable to additional authorised computers on the same network.
All AI models run locally, with zero dependency on cloud inference.
Onsite installation and training, with warranty-backed support after go-live.
Project setup, database schema design, data pipeline, and API scaffolding.
Predictive maintenance and snag-classification models trained and validated against target accuracy.
Knowledge-base search, conversational assistant, and real-time recommendation pipeline.
Crew planner, policy module, report generation, and data integration.
Security hardening, encrypted backups, onsite installation, and technical training.
Partner with Neveon Technologies to design and deploy a fleet intelligence platform built for your maintenance and operational workflow.