The company's AI-driven performance prediction software uses machine learning and big data decision-making solutions to automate functions currently performed manually by project developers, engineers, and bankers. This offers smart risk mitigation and could drive microgrid adoption, reducing the cost, time, and expertise required to develop and operate renewable energy microgrid systems. Brightmerge's SaaS-based economic optimization modeling tool supports economics analysis for upfront and development phases with continuous economic optimization SW. Their market includes energy developers, financial experts, and microgrid operators, with a focus on behind the meter projects of 1-15MWp.