Hydrizon KnowIT aims to consolidate expertise in hydrogen energy (covering technologies, policies, safety, products, equipment, etc.) and leverage the “Internet + Services” model to deliver timely knowledge retrieval and learning tools for professionals in key roles such as design, strategy, operations, and maintenance. The platform also offers AI-powered assistance tools to improve work efficiency, supporting various use cases such as solution optimization, equipment selection, economic evaluation, price forecasting, O&M guidance, and talent development.
The platform is deeply integrated with next-generation AI technologies represented by DeepSeek and features the proprietary AI-HC Hydrogen Production System Design Intelligence Suite. This suite includes intelligent applications such as renewable energy matching models, ALK and PEM electrolyzer sizing tools, equipment optimization and economic evaluation models, intelligent Q&A agents, solution generation agents, and device recognition and fault diagnosis agents. Its goal is to become an all-around smart assistant for green hydrogen business development.
Engages experts and manufacturers across multiple sectors, including hydrogen energy, energy systems, power, chemicals, water treatment, and energy storage, providing comprehensive and reliable knowledge tailored to frontline industry needs.
Leads the industry in the application of AI and large models to hydrogen energy with a bold, pioneering, and rigorously validated approach — prioritizing deployment before public release.
Leveraging the AI-HC Hydrogen Production System Design Suite, the toolbox provides support for early-stage project development through tools for renewable energy-hydrogen system matching, ALK and PEM electrolyzer sizing, project siting, equipment selection, and investment analysis.
Built upon the AI-HC smart solution generation model and AIGC foundation models, these assistants offer support across design, solution planning, tender preparation, and O&M processes. They help standardize workflows and cultivate best practices among professionals.
By integrating technical, procedural, safety, and product/equipment knowledge into the AI-HC design framework, the platform supports timely retrieval and learning for personnel in design, strategy, operations, and maintenance roles. It also keeps pace with evolving policies.
Designed for off-grid green hydrogen scenarios, this AI tool applies power-to-hydrogen balancing principles to calculate optimal configurations of renewable sources and storage. It supports multi-objective optimization — Safety & Stability > Business Needs > Economic Performance — enabling optimal sizing of wind, solar, storage, ALK, and PEM systems. This significantly enhances solution feasibility in green hydrogen projects.
Combines private domain and public domain knowledge sources for integrated search capabilities. It applies generative and reasoning models with strict verification rules to ensure high trustworthiness. The AI knowledge assistant clearly indicates citations and credibility to prevent misinformation.
Integrating multiple proprietary intelligent agents, the AI learns and replicates the end-to-end workflow of expert designers. It provides intelligent generation of technical solutions for hydrogen energy projects. During the process, users can interact via dialogue or reviews to guide the AI’s reasoning and ensure the solution aligns with multi-stakeholder needs.
Email：client@hydrizon.cn
Tel：0512-52997666
Site：www.hydrizon.cn
Add：208 Andingmen Outer Street, Dongcheng District, Beijing, Jiu'an Square
