ENFRES

NEURYTIKA · CELESTE ECOFLYERS

Explainable AI for Maritime Surveillance & Security

Give operators useful categories and the evidence behind them. Explore a Neurytika pilot for maritime infrastructure, equipment health and environmental monitoring.

Explore an Explainable AI Pilot ↗See the 60-second example →

Make monitoring information easier to act on

Equipment & infrastructure monitoring

Explore classification of equipment states from prepared sensor and maintenance records. Help port and offshore teams understand which patterns support an inspection category.

Explainable environmental alerts

Evaluate categories defined by environmental specialists using structured observation features and historical labels. Review atypical measurements and the evidence behind each classification.

Multi-platform data workflows

Scope an integration using prepared observations from aerial, maritime or land-based sensors. Agree how records are aligned, classified and presented for an operator’s review.

Start with one useful operational question

EXAMPLE PILOT · MARITIME EQUIPMENT HEALTH

Which sensor records deserve a maintenance review?

Prepare historical temperature, vibration and signal-quality summaries with known equipment-state labels. Compare ERC with a relevant baseline on reserved records, then review the feature combinations supporting the proposed maintenance categories with your engineers.

From local analysis to future onboard integration

Celeste EcoFlyers connects aerospace engineering with explainable AI research. Our development direction is to bring inspectable classification into onboard monitoring and broader cognitive architectures. An embedded pilot scopes the target computer, data preparation, interfaces and measured resource use.

Evidence you can inspect. Expertise you can work with.

Neurytika is developed by Celeste EcoFlyers in France. Its Evidence Ratio Classifier (ERC) represents relationships between discrete feature combinations and target classes, making their statistical support available for inspection. The research is published in Neurocomputing.