Decision intelligence · Ecuador

Turn the forecast into the right decision

A generic forecast says what the weather may do. We tell you what it means for your farm, your ponds, your greenhouse or your asset: when to act, when to wait and how to prepare.

Built around your decision, not the map

forECast learns how your operation works and translates forecasts into tailored decision support: what to watch, which window to use and when to prepare.

We combine observations, numerical models, local calibration and expert interpretation. Artificial intelligence supports the method; it is not the headline product.

EXTRACT FROM A DAILY BRIEF
ILLUSTRATIVE EXAMPLE
RISKS
RISK

Frost: high risk on Thursday

estimated low 1 °C

RISK

Wind: gusts up to 52 km/h on Friday

RISK

Storm possible on Saturday afternoon

NEXT 4 DAYS
Thursday
clear sky
19° / 1°
gusts 28 km/h
CONFIDENCE
Rain high
Frost high
Friday
sun through cloud
18° / 4°
0.4 mm · gusts 52 km/h
CONFIDENCE
Rain medium
Frost high
Saturday
thunderstorm
17° / 7°
14 mm · gusts 41 km/h
CONFIDENCE
Rain medium
Frost low
Sunday
light rain
16° / 8°
6 mm · gusts 33 km/h
CONFIDENCE
Rain high
Frost low
Synthetic data for a generic highland location; it does not correspond to any client.

Watch a forecast become a decision

A generic app

«Tomorrow: 60% chance of rain.»

forECast

«Your threshold allows spraying between 06:00 and 10:00. After 11:00, the risk exceeds the tolerance defined for your operation.»

The difference is not the data — it is knowing what to do with it.

Three horizons, one question: what do you need to decide?

We state the maturity of each capability plainly.

Days

Weather forecasting

What operational windows does the coming week open?

Available for pilots

Scope and success criteria in writing.

Months

Seasonal

How should we prepare for the coming season?

In development

Case-by-case evaluation.

Hours

Nowcasting

What is happening over my operation in the next few hours?

Capability in development

Start with a decision. Prove the value. Scale what works

We do not start from a data package: we start from the decision that costs you most to get wrong.

1

We understand your decision

What you decide, how far ahead, and what is at stake.

2

We assess what can be anticipated

With the sources available today, and with your data if you have it.

3

We test it on a real decision

A pilot with scope and success criteria in writing.

4

We measure whether it creates value

Against your criteria, not generic metrics.

5

We integrate what works

A validated pilot becomes a tailored recurring service.

WHAT OUR DAILY WORK LOOKS LIKE
ILLUSTRATIVE EXAMPLE
2 m temperature, dew point and daily extremes — forecaster panel

Built by people who know this climate first-hand

No inflated numbers and no accuracy promises: people, methods and principles you can check.

Team

A scientific track record in Ecuadorian climate, ENSO variability and seasonal forecasting, trained at leading international centres.

Methods

Observations, numerical models, calibration against local records and expert interpretation. Research published in peer-reviewed journals.

Principles

Confidentiality, lawful use of sources, communicated uncertainty, transparent maturity and decision-specific evaluation.

Meet the team →

A pilot programme for our first clients

A limited number of organisations can undertake pilots on preferential terms. We ask for a consequential operational decision and willingness to evaluate whether the support improves it.

Assess my operation →

Is there a decision in your operation that depends on the weather?

Tell us what you need to decide, where it happens and how far ahead. In the first conversation we tell you whether meteorology can help — and if it cannot, we tell you that too.

Assess my operation →