Satellite AI Startup to Demonstrate Energy Site Selection at Echelon 2026
RIFFAI, a Singapore-based startup, will present its satellite and AI platform for identifying renewable energy sites at Echelon Singapore on June 3-4. The company uses machine learning to process satellite imagery and help developers locate suitable locations for solar farms, wind power, and data centers.
Kolatat Katousano founded RIFFAI after working in energy operations at Schneider Electric and The Crown Estate. He built the company around a specific problem: site selection for clean energy projects remains slow and manual, leaving many renewable initiatives unbuilt.
How the Technology Works
RIFFAI converts satellite data into actionable insights by applying machine learning to hyperspectral imagery. The system detects environmental changes, identifies risks, and flags sites that meet specific criteria for energy infrastructure.
The platform also includes a command and control system that lets energy companies monitor operations in real-time, useful for time-sensitive decisions across multiple project sites.
Broader Vision
RIFFAI's long-term goal extends beyond energy. The company aims to become a processing engine for Earth observation data across agriculture, climate, security, and transportation.
"Satellites used to be something far above our heads, but these insights from space are becoming a practical part of everyday decision-making for commercial and civilian applications," Katousano said.
The company is investing in scalable AI models, multi-satellite integration, and partnerships to make satellite intelligence as accessible as internet connectivity globally.
For IT and development professionals, this work demonstrates how data analysis and machine learning apply to infrastructure problems at scale. The combination of satellite data and AI systems shows a practical use case where automated decision-making replaces manual processes in site evaluation.
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