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Project Development & Techno-Economic Studies

Feasibility studies, market analysis, technology assessments, financial modeling, and project lifecycle assessment. These services are designed to help businesses, governments, and other organizations navigate the complex landscape of Cleantech development and make informed decisions about their investments in sustainable technologies.


Procurement & Fabrication

Support in procurement of all major equipment for a project and provide customized pre-fabricated solutions (E-Houses, mobile power equipment etc.) to meet project requirements. 


Site Assessments

Assess the feasibility and suitability of a specific location for a particular project or development. These assessments typically involve a detailed review of the site's physical, environmental, and infrastructural characteristics. Site assessments can be for new construction or development projects, identifying potential environmental hazards, assessing the feasibility of renewable energy or other sustainable technology installations.


Data Analytics

Improve the efficiency and performance of sustainable technologies and processes by analyzing large volumes of data from various sources, including sensors, weather stations, and smart grids. By using such analysis we optimize the performance of renewable energy systems to predict and manage demand for energy, optimize the use of resources such as water and fuel, and identify opportunities for cost savings and efficiency gains.


Engineering Design

Develop Engineering design through all phases of the project starting from conceptual drawings to Issued for Construction (IFC) drawings form a multi-disciplinary Engineering team centered around principles of Safety, Quality and value Engineering to meet project functional requirements. 


Software Integration

Software integration is a critical component of many Cleantech applications, as it allows for the seamless integration of different systems and technologies, and enables data collection, analysis, and control. Furthermore, use of artificial intelligence (AI) and machine learning algorithms can be used to optimize the performance of Cleantech systems, enabling predictive maintenance, energy optimization, and automation.

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