RedMetrics

IDEA

RedMetrics bridges the gap between satellite oceanography and respiratory health. We address the critical "aerosolization" gap: the moment when toxic water pollution transforms into a breathable public health crisis.

As warming oceans accelerate the growth of Ostreopsis cf. ovata and other Harmful Algal Blooms (HABs), they release invisible biological toxins into the air. RedMetrics utilizes Copernicus Sentinel-3 data and coastal IoT sensors to track these blooms from the deep ocean to the shoreline. Our proprietary Respiratory Risk Index (RRI) translates environmental signals into predictive medical insights, allowing coastal infrastructure to prepare for respiratory surges before the first patient enters the ER.

EU Space Technologies

RedMetrics uses a 3 POINT DATA SYSTEM to predict potential health crisis and produce financial intelligence through a fully automated cloud architecture. We utilize:

• C3S ERA5: To integrate physics-informed aerosolization layers (wind speed and direction), predicting when offshore toxins will physically blow onshore.

• Sentinel-3 OLCI: To monitor ocean color and chlorophyll-a concentrations.

• CMEMS (Copernicus Marine Service): To track sea surface temperatures and currents.
  
  OTHER DATA

• On Site IoT Device: Reads real time data from deep water to confirm satellite data

• Past Medical Data: To create a historical point of refrence and use as a prediction for future cases

Our platform delivers this data via the Live Portfolio API, providing 72-hour disaster forecasting directly into underwriting software.

Technical Architecture

The RedMetrics Framework ingests raw data into a daily Machine Learning pipeline:

Stage 1: Bloom Probability (Early Warning) - 7-day short-term forecast of toxic blooms. Features: NDCI (Chlorophyll Index), Sea Surface Temperature (SST), Salinity, Current Velocity.

Stage 2: RRI Physics (Aerosolization) - Calculates the Respiratory Risk Index (RRI) to model when offshore toxins will physically blow onshore. Features: Wave height/period, Wind speed, Wind direction.

Stage 3: Hospital Surge (Predictive Healthcare) - Forecasts ER admission volumes. Features: Historical admission data, RRI values, 4–12 week inflammation carryover terms.

Stage 4: Insurance Trigger (Parametric Logic) - Manages automatic payouts. Features: Satellite RRI signal, IoT Nitrate/Phosphate spikes.

EU Space for Water

Our project tackles the challenge of tracking biological pollution and coordinating an adequate response. While traditional marine monitors are reactive, RedMetrics uses historical 10-year satellite-verified datasets to help actuaries back-test and understand long-term trends in water eutrophication and biological threats.

Research shows these blooms result in 54% higher respiratory ER admission rates, costing regional economies millions. 

By providing a dedicated biological risk monitor for areas like the Mediterranean and the Adriatic Sea, where blooms often go undetected by public health organizations, we protect both the financial stability of insurers and the safety of coastal populations.

We utilize different datasets from the Cassini satellites and cross-reference them with our own IoT measuring devices that measure the concentration of algae based on photodetection to provide accurate real-time data, as well as historical respiratory cases data.

Team

We are a multidisciplinary team of engineers, developers, medical experts and economists passionate about changing lives through technology:

Bojan Eftimoski - Software Developer 
Filip Bojadjievski - Data analysis and ML developer 
Nikita Jakimovski - Hardware and Electronics Engineer
Darko Trajanov - Software Developer 
Jakov Spirovski - Software Developer 
Teona Vangelovska - Head of Business planning and Finances 
Simona Kostadinova - Medical expert and analyst of health impact

Links: 
Github Repo: https://github.com/bojan-eftimoski/RedMetrics
Presentation: https://filipbojadjievski.github.io/PresentCassini/