Hyggle provides an AI‑driven SaaS platform that aggregates real‑time data from hydrogen and other green energy assets, European flexibility markets, and enterprise systems such as ERP and SCADA. The platform uses machine‑learning models to optimize dispatch for technical performance, economic return, and CO₂ emissions while ensuring compliance with regulations like RED II, and delivers results through an interactive Web 4.0 dashboard hosted in ISO‑compliant data centers in France and Germany.
Funding
Funding not disclosed
Founders
Product
Problem
Operators of green multi‑energy (especially hydrogen) infrastructures struggle to coordinate real‑time asset data, market signals, and regulatory constraints, leading to sub‑optimal dispatch, higher costs, and missed decarbonisation targets.
Solution
Hyggle delivers an AI‑driven digital platform that aggregates live data from energy assets, European flexibility markets, and enterprise systems such as ERP and SCADA. The platform applies data‑science models to balance technical performance, economic returns, and CO₂ emissions, generating optimized dispatch recommendations. Secure, cloud‑native hosting in French and German data centers ensures reliable processing and scalability as portfolios grow. An ergonomic Web 4.0 interface supports collaborative decision‑making, allowing operators to visualize scenarios, adjust parameters, and act on AI‑generated insights without extensive training. The solution is built to respect sector‑specific regulations (e.g., RED II) and can be adopted incrementally as decarbonisation ambitions evolve.
Target Audience
The primary customers are hydrogen producers, multi‑energy asset owners, utilities, and industrial decarbonisation projects that need integrated operational and economic management of green energy portfolios.
Features
- Real‑time connectivity to any energy asset (connected or legacy) and native integration with European energy and flexibility markets.
- Bidirectional data pipelines linking the platform to ERP, SCADA, and other enterprise systems via standardized APIs.
- Cloud‑hosted, ISO‑compliant infrastructure with redundancy across French and German data centers for high availability and data sovereignty.
- AI and machine‑learning engine that optimizes dispatch across technical, economic, and environmental dimensions, including CO₂ impact scoring.
- Interactive Web 4.0 dashboard offering scenario analysis, KPI tracking, and collaborative decision‑support tools for multi‑energy portfolios.
- Built‑in regulatory compliance module that incorporates RED II and related policy parameters into optimization routines.
- Modular service catalog allowing gradual adoption of advanced functionalities such as predictive maintenance, market forecasting, and revenue assurance.