AgentsWe transform complex, unstructured aviation data into actionable insights, building the scalable data pipelines fundamental to any successful AI system.
The aviation industry runs on a massive volume of data from diverse sources and complex formats. Extracting valuable, data-driven insights from it is a daunting and resource-intensive task that most organisations still do manually.
Data spans technical, operational, and environmental parameters for every aircraft, creating enormous datasets.
Information is locked away in scanned PDFs, images, Excel sheets, CSVs, and extracts from various legacy systems.
Unstructured data has summarizes, annotations, graphs, and domain-specific terminology requiring advanced analysis.
Four specialist agents work in concert to take data from its raw, unstructured state all the way through to verified, query-ready intelligence.
Converts raw data from any format (PDFs, images, charts) into a clean, machine-readable format using OCR, computer vision, and multimodal models.
Intelligently identifies document types (e.g., AD, LLP Status) using pattern recognition and language models to route content to the correct specialist.
Meticulously extracts specific fields, understanding complex layouts and aviation terminology to pull critical data with high precision.
Transforms information into predictive knowledge, powering analytics like RUL Estimators, Shop Visit Forecasters, and Work Scope Optimizers.
Ten specialist agents, orchestrated by a Supervisor, transform raw aviation data into governed, query-ready intelligence.
Orchestrates the ten specialists, routes each record to the right agent, and escalates anything uncertain to a person. People sign off where judgement matters.
Gathers records from SAP, MRO systems, email, scans and spreadsheets.
Pulls disparate sources into one asset-centric view per aircraft, engine or part.
Loads data into the lakehouse at fleet scale on a Databricks foundation.
Recognises and tags documents, parts, assets and airworthiness directives.
Reads unstructured records with aviation vision and language models.
Resolves errors, duplicates and conflicts, and flags gaps.
Reshapes records into query-ready, model-ready data structures.
Normalises everything to common aviation taxonomies, units and naming.
Surfaces relationships, anomalies and insights across the connected data.
Catalogues, versions and publishes curated data so it is discoverable and reusable.
End-to-end lineage, access control, audit and explainability wrap every agent through Unity Catalog.
From raw data source to governed intelligence, our agents continuously learn and contextualise as they work, with human sign-off built in at every critical step.
Stop wrestling with documents and start making data-driven decisions.
See how KeepFlying's Agentic AI can transform your operations.