The method
Fishing Intelligence: how we read the ocean
We do not simply go out to look for fish. We analyse where they are most likely to be. A day of big game fishing does not begin when we set the lines: it begins long before, studying the conditions that decide where the fish will be.
The method in depth
Four layers of analysis
Each one answers a different question, and none of them is enough on its own.
What we look at before deciding where to go
Sea surface temperature and its fronts, currents, bathymetry, moon phase, forecast wind and sea, bait presence, and recent reports from the commercial and sport fleet.
None of that is worth anything on its own. The value is in crossing it: a thermal front over a drop-off, with favourable current and bait reported two miles away, is a decision. The same front over flat bottom with no activity is not.
Making that cross is what the captain does the evening before every trip, and it is the difference between going to a spot and going to an area because that is where the boat has always gone.
What the analysis cannot do
It does not guarantee catches. No method does, and anyone promising otherwise is selling you something.
What it does is raise the odds and cut the wasted time. Over an eight-hour day, starting in the right place can be worth two or three hours of actual fishing.
Nor does it replace the captain. The data says where to look; thirty years at sea says what to do when the fish shows up, or when it does not and the plan has to change by mid-morning.
What the technology actually does
It processes information at a volume no person can hold at once: satellite temperature, current models, productivity, forecasts and our own historical records, compared and cross-referenced quickly.
The value is not any single source. It is crossing layers of information and looking for coincidences.
Where the data comes from
Meteorological, oceanographic and chart sources: models and tools, satellite imagery and data, current models, surface temperature, forecasts and historical data, alongside official bodies. We name the categories rather than claiming exclusivity over any particular product.
Why us
Data, technology, experience and direct observation
Artificial intelligence helps us organise, compare and cross large amounts of data and spot patterns. But it does not replace the captain or years of fishing. Technology processes information; experience interprets the ocean. And if what we find in the water contradicts the model, we change the plan.
We don't wait for the fish. We follow them.
Tell us when you are coming
Send us your dates and the species you are after. We will tell you honestly what the ocean is likely to be doing.