What We Do

WHAT WE OFFER

Our Services

Crop Prediction

The core of our work is understanding and predicting crops – on a national and global scale.

  • Global Scale

  • Field Level Accuracy

  • Unique Ground Truth

We provide accurate, reliable and effective results – with our platform Inference. We have been recognized for our innovation  – by the European Space Agency, Norwegian Space Agency, and UK Government, and work with multiple FTSE 250 companies.

Our unique approach to Ground Truth collection and machine learning is building the world’s largest database of crops.

 

CASE STUDY

Case Study: Crop Prediction Thailand

To better understand the risks to their stock a client wanted to combine satellite data with terrestrial data and historical reports - HSAT is able to pull together this data and use machine learning to better understand and manage the risks fo fish stock.

Weather

Past. Present. Future

We provide near real-time updates on the weather and its impacts.

40+ years of historical data and forecasting for any location.

Customized alerts based on any criteria for any location.

CASE STUDY

Case Study: Soft Commodities

A client needed to understand the expected crops across millions of hectares - but there was no reliable data available. HSAT worked the client to produce a bespoke solution to monitor the region for the total area of crops planted, and the growth of the crops throughout the year.

Yield | Disease | Risks

Monitor, identify and predict crops for disease, damage or poor irrigation,

Any field, region,  or country anywhere in the world.

National-level models with over 95% accuracy

CASE STUDY

Case Study: Barley Yield France

To better understand the risks to their stock a client wanted to combine satellite data with terrestrial data and historical reports - HSAT is able to pull together this data and use machine learning to better understand and manage the risks fo fish stock.

Intelligence & Research

Research and data gathering around the world – with over 1,000 data collectors around the world.  From Brazil to Bangladesh

Example: Factory production in Thailand.  Field visit in fields in Argentina.  Flood surveys in Pakistan.

CASE STUDY

Case Study: Flooding Pakistan

To better understand the risks to their stock a client wanted to combine satellite data with terrestrial data and historical reports - HSAT is able to pull together this data and use machine learning to better understand and manage the risks fo fish stock.

How We Do It

We use satellite data, weather data – and a team of over 1,000 people around the world to collect data on crops.

We collect petabytes of data and use this to build complex model and then providing insights

Our  team has decades of experience in providing insights and not just data

Understand

We work with you to understand your problem

Analyse

We use global scale data - with AI and Machine Learning

Insights

We provide clear answers