Empowering Industrial Professionals

PerfoMax functionality covers all types of vessels while having special extensions for offshore, bulk, container, and tanker vessels.

PerfoMax is a flexible tool that offers functionality on the basis of different data sources like noon reports, sensors, satellite data, and industrial databases. Our goal is to deliver the highest possible accuracy of analysis with the available data.

PerfoMax is a sensor-agnostic platform, we could recommend sensor types or specific IoT devices. We could support the installation process with our local partners in the EU, MENA, and APAC. We don’t have preferable suppliers and our mission is to make your digitalization process cost-efficient and transparent.

Vessels operate in varying conditions, whether it is the loading conditions, usage of fuel types, or weather conditions, which makes all the data incomparable. Prefomax uses advanced algorithms to bring your data to an “apple to apple” comparable state, where data can be used to its maximum potential. Excel lacks the necessary capabilities to process such a modeling.

We utilize statistical methods fused with a grey-box digital twin approach, where unrealistic data or data with high deviation from ideal behavior is flagged, and further same could be used for noon report and MRV-DCS data rectification, identifying faulty data streams from telemetry system or catch suspicious events like manual fudging of data.

Grey-Box Performance models use the ship-specific design data to model performance behaviour which is then enriched with real-time noon reports or sensor data to understand vessel performance. This approach allows our clients to achieve trustworthy performance metrics with basic data like daily noon reports.

Other methods like Black-box models need big-data sets of high quality (long-term telemetry data) to model ship performance and are highly biased to the data quality, however, with a grey-box model, this bias could be avoided.

PerfoMax provides a comprehensive overview with emission monitoring from major onboard consumers, overall Annual Emission Ratings(AER), advanced end-of-the-year prediction, and CII grade simulation based on parameters like fuel change, additional non-sailing time, Energy saving device or EET installation, etc.
As Emission Ratings are calculated based on sailing distance, it is crucial to monitor the impact of non-sailing time on overall CII, and our in-house developed metrics like moving AER help to understand the impact of overall operations over time.