Large
Terrestrial
Exchange
Real-time satellite imagery.
One Platform.
One Platform.
Your Secure IoT Data.
Multiple Satellite Tasking Opportunities.
Our easy 4 step process
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In your own secure environment
Merge IoT Data
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Exclusive to Space Aye
A patented approach to Earth Intelligence.
Above: Space Aye’s Large Terrestrial Exchange (LTx) platform interface.
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Exclusive to Space Aye
A patented approach to Earth Intelligence.
Above: Space Aye’s Large Terrestrial Exchange (LTx) platform interface.
Multiple satellite constellation access
Our LTx platform pulls in data streams from multiple satellite constellations simultaneously. Allowing you to filter easily to find your ideal satellite imaging option.
Image Resolution
Cloud
Coverage
Pass
Time
Area
Coverage
Image
Angle
Cost
Multiple satellite constellation access
Our LTx platform pulls in data streams from multiple satellite constellations simultaneously. Allowing you to filter easily to find your ideal satellite imaging option.
Image Resolution
Cloud
Coverage
Pass
Time
Area
Coverage
Image
Angle
Cost
Let's talk about AI...
AI classifies.
Space Aye identifies.
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What is a Large Terrestrial Model?
A Large Terrestrial Model (LTM) pulls from a comprehensive data source of everything happening on Earth.
The LTM combines satellite imagery data of land and sea surfaces, infrastructure and all viewable living entities with associated IoT data to create a multi-layered data source which provides more context and understanding to any situation on Earth. Using High Processing Computers, it can derive patterns, predictability and contextualise the Earth and all of it's activity through a wide range of analytical tasks. The LTM integrates diverse datasets to support the development of a global, live digital twin.
Think of Large Language Models (LLM)...which are becoming a helpful addition to our day-to-day activities. However a LTM will be at a much larger scale and offer far more granular global information through real-time satellite imagery and IoT data. This will benefit business, governments and industries across the world.
What is a Large Terrestrial Model?
Space Aye’s unique patented capability will also provide, over time, a uniquely powerful new dataset that has captured the planet in 3 dimensions, in real-time. This emerging dataset will provide the training data for the next generation of AI, enhancing current ‘Large Language Models (‘LLM’) with the new ‘Large Terrestrial Model’ (‘LTM’).
A Large Terrestrial Model (LTM) pulls from a comprehensive data source of everything happening on Earth.
The LTM combines satellite imagery data of land and sea surfaces, infrastructure and all viewable living entities with associated IoT data to create a multi-layered data source which provides more context and understanding to any situation on Earth. Using High Processing Computers, it can derive patterns, predictability and contextualise the Earth and all of it's activity through a wide range of analytical tasks. The LTM integrates diverse datasets to support the development of a global, live digital twin.
The combination of real-time satellite imagery and IoT data will form the training data for physical AI models, enhancing Machine Vision techniques enormously, as they can only count and classify, our model will be able to irrefutably identify, significantly enhancing critical reliance models, whilst reducing energy requirements too.
Transforming Industries & Businesses Globally
Our patented technology has the power to transform industries across the globe. By turning Earth Observation data into intuitive, real-time insights, we can help organisations improve efficiency, reduce risk and respond confidently to change.
Whether in Oil & Gas, National Security, Insurance, Natural Disaster management, Shipping & logistics or Agriculture, we enable better decisions every day and in every environment.
As an example, an article by the World Economic Forum and McKinsey & Co estimate that the combination of real-time imagery and IoT data will increase efficiency and or profits in the €8tn logistics, shipping & freight sector by 35%...equating to trillions in one sector alone.
