Deep Hypercomplex Networks for Spatiotemporal Data Processing
Parameter-efficient models for compact, high-performance processing.
Environmental intelligence · Solar foresight
Earth intelligence. Energy foresight.
Deep Forecast builds UAE-born geospatial AI for the MENA region, turning satellite, weather, and ground data into decisions for environmental monitoring and solar-energy operations.
02Applied AI solutions
MENADesigned for regional conditions
AILocal models, decision-ready software
Our portfolio
Two operational questions.
One shared intelligence layer.
From the air we breathe to the power a solar plant can generate, Deep Forecast transforms complex Earth-observation data into clear, locally relevant answers.
MENA by design
Regional conditions demand regional intelligence.
Deep Forecast solutions are designed for the MENA region, where operating conditions can include intense solar irradiance, dust and aerosol loading, extreme heat, coastal humidity, and uneven observation networks. Our models and interfaces are shaped around regional data and decision needs.
Solution 01
A local environmental intelligence layer built from satellite and ground observations.
Emirati Air Quality Index
See beyond sparse ground stations.
MADAR combines satellite coverage with calibrated ground measurements to map air quality across the UAE, giving teams a searchable view with local context.
- Satellite-derived Coverage across the Emirates
- Ground-calibrated Local measurements refine the model
- Decision-ready Clear ranges, legends, and health context
Land-cover change
Understand how the surface is changing.
Satellite imagery is classified into sand, water, vegetation, and built-up areas—then compared over time to highlight where change is happening.
- Land cover Consistent surface classification
- Change maps Visual comparison across time
- Local workflow Adaptable to agency requirements
Solution 02 · Solar intelligence
Plan solar generation with greater confidence.
ISHRAQ combines historical plant output, numerical weather prediction, and satellite imagery across operational planning horizons, with workflows designed around MENA solar conditions.
Operator workflow
From plant selection to a decision-ready forecast.
- 01
Choose site
Select a plant from a list or the UAE map.
- 02
Set horizon
Choose next-day, 5–9 day, or longer-range planning.
- 03
Run model
Combine power history, weather forecasts, and satellite inputs.
- 04
Use output
Review hourly values and the generation curve.
Selected publications
Research advancing geospatial intelligence.
Marine Debris Segmentation Using a Parameter Efficient Octonion-Based Architecture
Efficient remote-sensing segmentation under constrained resources.
Semantic Labeling of High-Resolution Images Using EfficientUNets and Transformers
Efficient scene understanding for high-resolution Earth imagery.
Abu Dhabi · United Arab Emirates
Let’s turn Earth data into your next decision.
For partnerships, pilots, and product conversations:
contact@deepforecast.aeFounderDr. Hasan Al Marzouqi