Predictive maintenance
Tracks long-term wear in battery capacity, panel efficiency, and charging behaviour — flags components weeks before they fail, not after the runway goes dark.
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Telemetry monitoring, real-time alerts, and predictive maintenance for distributed field equipment.
Shadowfax connects to existing field infrastructure read-only, predicts component wear before it causes outages, detects anomalies automatically, and delivers daily health reports — with no cloud dependency and no changes to existing systems. Built for system integrators and operations teams who need reliable, low-maintenance monitoring.
Shadowfax came from a gap we kept running into while working with distributed installations.
Field systems — airfield lighting, industrial equipment, remote infrastructure — generate telemetry constantly: battery levels, output readings, fault events. The hardware logs it. The data accumulates. But in most deployments, nobody acts on it until something fails. Maintenance is reactive by default, not because operators want it that way, but because there was no practical layer between raw telemetry and actionable insight.
The idea wasn't to replace existing infrastructure or add new sensors. It was to make what's already being recorded actually useful — to detect wear patterns before they become failures, and give the people responsible a clear daily picture without digging through databases.
Three stages, all automatic — from raw telemetry to actionable intelligence.
Reads telemetry from the existing lighting system database. Read-only, non-invasive — nothing installed on the lighting hardware itself.
Detects anomalies, tracks trends, and identifies maintenance signals automatically — adapting to your device population without manual thresholds.
Delivers daily health summaries, real-time alerts, and intelligent narratives — so the operator knows what changed and what to act on.
Six screens that show how Shadowfax sees the field, surfaces problems, and is configured.
Everything needed to keep an airfield lighting system observable, accountable, and quiet.
Tracks long-term wear in battery capacity, panel efficiency, and charging behaviour — flags components weeks before they fail, not after the runway goes dark.
Continuous monitoring of battery, solar, output current, temperature, and connectivity across all devices.
Every fault is opened, tracked, escalated if needed, and closed automatically — no manual triage required.
Automated summaries with intelligent narratives — no manual effort, delivered to the inbox each morning.
Anomalies detected relative to peer devices, not fixed thresholds — adapts to any hardware mix automatically.
Full alarm log with severity levels, per-device rule suppression, and exception handling.
Runs entirely on a local server. No internet, no cloud — no external dependencies that can fail.
Read-only access to existing data. Nothing installed on lighting hardware, no firmware changes.
Runway, taxiway, threshold, approach, PAPI, and solar engines — all device types covered out of the box.
Five things worth knowing before a pilot.
Where Shadowfax is, and where it is going.
Core monitoring platform. Production-ready.
Automated daily reports and alarm history.
Device history and intelligent health summaries.
Real-time notifications via email, messaging apps, and third-party systems.
Multi-site monitoring from a single dashboard.
Support for centralised lighting systems (CCR).
Tell us a bit about your setup — number of devices, deployment context, what you're trying to solve. We'll set up a tailored demo.