The global shift to green hydrogen presents a transformative opportunity for shaping a decarbonized economy. CibusCell is an enabler of that leap, acting as the digital brain of a green hydrogen plant. The AI-native, cloud-based platform equips industrial users, energy developers and infrastructure operators with real-time insights and centralized control, enabling smarter decisions and more efficient management at every stage of production. By embedding AI at its core, it anticipates uncertainties and optimizes production, storage, distribution and resources to help operators lower costs and maximize performance. “We give stakeholders a single, intelligent platform to manage the entire hydrogen project lifecycle,” says Marcus Ruebsam, co-founder. CibusCell guides the journey, starting with investment planning, continuing through real-time operational control and extending to future scenario modeling for long-term performance. Developers, investors, regulators and partners can collaborate seamlessly on the platform, ensuring decisions are data-driven and aligned with operational and financial goals. Building the platform on Microsoft Azure assures the reliability and scalability clients need for efficient hydrogen production management. Fragmented systems are eliminated, creating a unified environment where intelligence continuously drives efficiency. Clients have already reported cost reductions of up to 40 percent, demonstrating CibusCell’s effectiveness in maximizing efficiency and minimizing costs. Optimizing Hydrogen Projects from Day One CibusCell’s client engagement model is designed to support hydrogen projects well before plant construction begins. During the investment planning stage, it helps clients design the most effective and cost-efficient setup for their production goals. This early-stage planning doesn't require a working plant. Everything is simulated within the platform to explore multiple scenarios. Factored in are CapEx, OpEx and lifecycle costs, along with key variables such as access to green electricity, regulatory considerations, expected hydrogen demand and offtake commitments. Data is used to calculate the optimal layout for renewable energy sourcing, and the size and configuration of core components like electrolyzers, storage tanks and trailer distribution. The ability to model and optimize before building prevents overinvestment, underutilization and poor asset sizing. Once the plant design is finalized and investment decisions are made, CibusCell focuses on operational optimization. It connects to the entire hydrogen infrastructure in real time, using IoT integration to gather data from electrolyzers, storage tanks, transport trailers and end-use applications like industrial burners and mobility fleets. The platform continuously analyzes sensor data, weather forecasts, and electricity market prices to simulate and update optimal production schedules. At the core of this phase is the ability to optimize hydrogen production hour by hour and day by day, always targeting the lowest possible cost per kilogram. Whether electricity is procured from the spot market or self-generated from renewables, CibusCell uses machine learning and time-series forecasting to balance supply, demand, storage levels and technical constraints. Complete automation is one of its core capabilities, and a key differentiator. Once the client defines cost thresholds and operational preferences, the platform autonomously manages the entire hydrogen production process 24/7. This includes starting and stopping electrolyzers, controlling storage systems, buying or withholding electricity from the market and adjusting production schedules based on real-time data. The automation is not just rule-based. It’s driven by optimization algorithms and machine learning models that constantly evaluate cost, efficiency, hardware performance and market dynamics. This shift from manual, spreadsheet-driven planning to automated, AI-driven optimization helps clients adapt to dynamic conditions without guesswork.