For supporting Axiobit’s innovation venture in the field of specialized services for low carbon economy transition, the staff is focusing on two main research topics:fuzzy data processing and intelligent business processes. Research efforts focused on innovation play a crucial role in fostering competitive advantage, sustainability, and scalability in rapidly evolving markets. By integrating fuzzy data processing and intelligent business processes (IBP) into their operations, Axiobit’s staff enhances data-driven decision-making, optimize resource allocation, and improve adaptability in uncertain environments such as Low carbon economy services operate. AI-driven business process automation allows us to streamline workflows, reduce operational inefficiencies, and accelerate product development cycles. Furthermore, leveraging predictive analytics and process mining helps these firms identify emerging market trends, optimize supply chain logistics, and implement lean, low-carbon business models. Such research-driven innovations enable startups to scale efficiently, reduce costs, and drive sustainable growth, ensuring long-term success in increasingly digital and eco-conscious markets. Fuzzy data processing helps in dealing with uncertainties in environmental data, energy consumption patterns, and carbon emissions modeling. By applying fuzzy logic and AI, businesses can make more precise sustainability decisions, such as optimizing energy use in smart grids, improving resource allocation in supply chains, and enhancing climate risk assessments. This approach enables more effective carbon footprint monitoring, ensuring that businesses can transition toward greener operations with data-driven, intelligent decision-making frameworks.