PHAROS · Flight data monitoring

Flight data you can trace to the source.

PHAROS is a flight-data monitoring product in development. It brings recorder ingestion, event review, trace analysis and evidence-grounded assistance into an analyst workspace built around reproducibility and crew privacy.

FDM analysts, gatekeepers and safety teamsIn development
PHAROS event summary: unstable approach, review status, captured airspeed and descent rate from a synthetic flight
Start with what happenedDemonstration data · Open full-size ↗
Inside PHAROS

From the event to the evidence.

Follow one synthetic unstable-approach example: identify the event, inspect the recorded traces, then review the investigation draft. PHAROS is in development; these are demonstration records.

01 / PHAROS

Start with what happened

The event summary identifies an unstable approach during final approach. It places the event window, review status, recorded airspeed and descent rate together, with links back to their source samples.

PHAROS event summary: unstable approach, review status, captured airspeed and descent rate from a synthetic flight
Start with what happenedDemonstration data · Open full-size ↗
02 / PHAROS

Compare the evidence on one timeline

Follow altitude, airspeed, descent rate and engine power at the same instant. The shaded event window and reference lines give the traces context; the health panel keeps recording quality visible.

PHAROS focused flight analysis with altitude, airspeed, vertical speed and engine-power traces plus recording health
Compare the evidence on one timelineDemonstration data · Open full-size ↗
03 / PHAROS

Review the draft against its sources

Read the draft findings beside the flight evidence and contributing factors. The record remains explicitly draft and unsigned until an analyst reviews it and signs.

PHAROS unsigned investigation draft with findings, contributing factors and source-linked evidence
Review the draft against its sourcesDemonstration data · Open full-size ↗
Capabilities

The details that keep work moving.

Flight-data monitoring and investigation assistance, in development with traceable evidence and crew privacy controls.

Controlled recorder ingestion

Track raw-file custody, duplicate detection, quarantine and tail resolution before data enters the decoding pipeline.

Versioned decoding and analysis

Carry decoder, dataframe, derived-parameter and event-definition versions with the output so an analyst can follow how a result was produced.

Event review with data quality visible

Review severity, flight phase and disposition in the triage queue, with decode gaps separated from operational events.

A synchronized flight workspace

Inspect parameter traces, approach profile and plan view around an event, with sample validity and source context visible together.

A signed investigation path

Bring grounded narrative, contributing factors, risk classification and proposed actions into a dossier for analyst amendment and sign-off.

Definitions with a review gate

Edit event and dataframe definitions, compare backtest results and require a second-person review before promoting an event set.

Programme and fleet visibility

Explore decode coverage, ingestion outcomes, safety indicators and event distributions alongside investigation workload.

Crew identity behind a gatekeeper

Separate de-identified analytics from identity records and use governed access workflows when an authorized re-identification is required.

Applied AI

Assistance grounded in flight evidence.

The implemented AI layer supports an analyst's workflow and is controlled separately from conventional flight-data processing.

Triage and similar-event retrieval

Use confidence-scored triage and similar-event retrieval to direct attention. Triage never auto-closes events and is not applied to high-severity events.

Grounded investigation drafts

Build a dossier from bounded tools and cited flight evidence. The analyst can amend the draft and must sign the investigation.

Capability-level controls

Gate enablement on evaluation results and use tenant kill switches. The conventional FDM workflow is designed to continue with AI disabled.

Evaluate PHAROS

Make the next step measurable.

Agree a representative sample and a baseline from your current process. These are proposed evaluation measures, not published performance results.

Bring a representative example

Synthetic fixtures and independent reference decodes for an agreed aircraft layout.

Inspect the complete workflow

Inspect provenance, event definitions, synchronized traces, and analyst review.

Compare with your baseline

Decode agreement; event detection errors; data-quality coverage.

Questions & answers

Before you book a demo.

Is PHAROS available as a fully validated operational FDM system?

PHAROS is in development. Its current implementation supports demonstration and validation work, while aircraft layouts, thresholds and outputs require operator and independent reference validation before operational use.

Does PHAROS require Aurora?

PHAROS has its own analyst interface and processing pipeline. Safety-system integration is a programme requirement to define with the operator; Aurora is one possible connected product.

What can PHAROS AI assist with today?

The implemented AI layer covers triage assistance, grounded dossier drafts, constrained natural-language queries and similarity. Analysts retain review and sign-off responsibility.

See PHAROS in action

Start with your workflow.

A focused walkthrough, with the people and decisions that matter to your team.

Request a demo