Their approach? To meet the burgeoning demand for EV charging without overhauling the existing grid infrastructure. Simonas Stankus, the co-founder and CEO, firmly believes in the necessity of innovative technology for building a sustainable EV charging network. Yesterday's technology, he argues, is insufficient to address today's challenges. Consequently, Inbalance grid has integrated big data, artificial intelligence (AI), and the Internet of Things (IoT) into its toolkit, marking a significant shift from traditional methods. Since its inception four years ago, Inbalance grid has grown exponentially. Today, it operates over 400 charging stations in Lithuania alone, utilising a dynamic power principle that conserves both financial and electricity resources. This advancement has been fuelled by nearly €4 million in investments, further refining their technology. Recently, the company, in collaboration with private investment company Equite, announced an additional €1.5 million investment towards developing EV infrastructure in Lithuania. The horizon looks even brighter as Inbalance grid sets its sights on expanding into Latvia, Estonia, and Poland. Addressing the challenges inherent in EV infrastructure expansion, Stankus notes, "To build enough stations using the old concept, we would have to undertake costly and disruptive actions, like digging up the ground and thickening power lines. The investment made would be recovered through the kilowatt-hour price charged to drivers. Therefore, we need to look for alternative, smart technologies in the charging process." It appears that the global energy community is taking notice. SK Group, a South Korean corporation with significant worldwide investment in energy solutions, has expressed an interest in this Lithuanian start-up. They were particularly impressed by the company's visionary yet data-driven approach, which is sparking conversations on a global scale. Inbalance grid is pioneering the integration of EV charging stations into the IoT ecosystem. As Stankus explains, "We are creating an infrastructure where the building management system, the energy source, and the charging station are communicating and exchanging information to achieve the optimal result." Key to this approach is their competence in collecting, analysing, and predicting data patterns. This data-driven strategy optimises processes and forms the basis for smart solutions. Inbalance grid's journey exemplifies the innovative spirit and entrepreneurial prowess that are driving the Baltic business landscape. As they continue to disrupt and redefine the EV charging infrastructure, one thing is clear: they are not just preparing for the future, they are actively shaping it.