Custom ocean
modeling
Reliable coastal forecasts for your operational decisions. We calibrate your models (WW3, CROCO) against in-situ measurements, reduce wave bias by 20 to 40%, and deliver actionable results — in days.
Modeling, marine data analysis, and AI
Precise solutions for your coastal and offshore projects — from raw data to operational forecasting.
Modeling and calibration
Optimization of wave, current, and water-level forecasts. Statistical adjustment and improvement of existing coastal models.
Data analysis
Time-series studies, measurement quality control (QA/QC), advanced statistical analyses, and detection of extreme events.
Applied AI and expertise
Observation-model blending, hybrid AI + physics models, high-precision diagnostics, and custom scientific support.
Metocean study — from 2 500 € excl. VAT
A quantified sea-state conditions analysis, based on ERA5 and GLORYS12: climatology, extreme values and operability. First deliverable within 5 working days.
Expertise in oceanography and data science
We turn oceanographic data into reliable forecasts through modeling, statistical analysis, and artificial intelligence. An approach that combines scientific rigor with operational solutions.
Bias reduction: RMSE on significant wave height (Hs) after calibrating the model against an in-situ ADCP, measured on a coastal mission in Gabon. The report is covered by a non-disclosure agreement; the method itself is reproducible. Models and forcings: CROCO and WW3 in production, NEMO, ECMWF (ERA5), GFS and AROME for forcing and data.
Sediment mobility atlas and optimal corridor
Pre-survey screening for cable layers: where the seabed moves, and where to route.
- Soulsby bottom-boundary physics, Shields threshold
- 500 m grid, 8,871 cells, 30 years (1993–2022)
- A* corridor and depth-of-lowering guidance
- Validated on 51 SHOM points and 908 dune crests
FNO surrogate — currents of the Brest roadstead
Emulating the currents of a high-resolution CROCO model with a neural operator.
- Fourier neural operator (2D FNO), autoregressive output
- CROCO ground truth, 250 m grid, 90 days
- Median error of 17% over a full tidal cycle
- Against 29% for a harmonic baseline
SeaRoute-Py — weather routing
Vessel trajectory optimization via A* weighted by wind, waves and currents.
- Time, fuel or balanced cost profiles
- ETA validated on 800 real AIS voyages
- Gain concentrated in heavy seas (Hs 2–5 m)
- GeoJSON, GPX and KPI outputs (ETA, fuel, CO₂)
Blend AI — observation and model fusion
Calibrating model output against in-situ measurements.
- Observation quality control
- Analysis of model ↔ measurement gaps
- Hs bias reduced by 20 to 40% (model vs ADCP)
- Stable forecasts during extreme events
MeteoData Hub — unified metocean data access
Query ERA5, GLORYS12 and GFS without building the ingestion pipeline.
- A single interface for heterogeneous sources
- Extraction by point, by route or by bounding box
- Directly usable outputs (NetCDF, JSON)
- Product in beta, join the waiting list
MeteoData Hub — weather models, ready to use
Select a model, an area, variables and a format. Get a clean, documented and reproducible file, without downloading or decoding hundreds of GRIB files. GFS, ICON-EU and AROME, from GRIB2 to Zarr.
Let us discuss your coastal project
For any question or diagnostic request, write to us directly. Response within 48 hours.
Request a diagnostic
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We respond within 48 business hours.