Where AI, Green Hydrogen, and Data Centers Unite.
Solgen aims to transform energy and computing by integrating advanced AI models with green hydrogen production and edge computing. Our proprietary Dalton AI algorithms are projected to reduce energy consumption by up to 32% while our closed-loop hydrogen systems are designed to deliver high uptime for mission-critical applications.
Since our founding in 2017, our goal has been to develop operational sites across Europe and North America that generate clean energy while serving compute workloads for enterprise clients.
We're committed to creating a sustainable future through innovative energy solutions that combine cutting-edge AI technology with renewable energy sources. Our goal is to make clean, reliable energy accessible to all while reducing global carbon emissions.
Our vision is a world where energy is abundant, sustainable, and accessible to everyone. By developing closed-loop ecosystems that combine renewable generation with advanced storage solutions, we're working toward a future where energy scarcity is a thing of the past.
Our Montecito facility serves as our first consumer POC, while our installation in the Scandinavian Mountains demonstrates our technology in challenging weather conditions. These proof-of-concept sites allow us to refine our systems for larger scale implementations.
View Performance MetricsTargeting a 78% reduction in carbon footprint while maintaining enterprise-grade reliability
Development Timeline: The following solutions represent our projected capabilities based on pilot models and ongoing R&D. Full-scale commercial deployment is targeted for 2024-2026.
Our Dalton and Joules algorithms are designed to process 1M+ data points daily, with target accuracy of 95%+ in demand forecasting and potential OPEX reduction of 25-30%.
Target: 5MW electrolyzer capacity with 750 kg/day production potential, integrated with 12MW solar arrays. Our patented storage system aims to maintain 120 days of operational reserves.
Target deployment: 180+ racks across multiple sites, designed to deliver 99.999% uptime with PUE of 1.1 or lower. Our cooling systems aim to reduce thermal management costs by 40-45%.
Planned subscription model to serve enterprise clients with flexible contracts from 6-36 months, offering guaranteed SLAs and predictable pricing structures.
2.3-4.1M
kg CO₂ Offset (Target)
25-30%
Target Cost Savings
99.9%
Target Reliability
$14M
Total Funding to Date
Based on pilot project models and projected performance at commercial scale