Partner at Norrsken Impact Fund
Check size: Norrsken VC publicly states €1M–€10M early-stage and growth tickets. This is a firm-level range and should not be read as Fabian's individual signing authority.
Fabian looks for technology that improves both the economics and environmental footprint of energy and heavy industry. His research identifies AI-enabled resource efficiency, process optimization and predictive maintenance as especially promising, while investments such as SpotmyEnergy show interest in distributed energy assets and software that turns households into active grid participants.
Quantify the baseline process and your improvement in energy, materials, downtime, emissions and payback period. Identify the budget owner, deployment constraints, integrations and proof from real sites. Explain why the model or data advantage compounds, how adoption scales across plants or assets, and how commercial returns grow with impact.
Solutions that attack a costly operational bottleneck and make lower emissions the economically superior choice; experienced teams; measurable reductions in material, energy or downtime; products with clear buyers; and technology that can spread across large industrial systems.
No personal pass list is published. Inference from his stated thesis: climate products without quantified cost or productivity benefit, pilots with no path to repeatable deployment, AI that lacks proprietary industrial context, marginal efficiency gains and teams without the technical and commercial credibility required for slow-moving industrial markets.
Score a solution across material efficiency, energy and process optimization, and predictive maintenance, then quantify the cost and emissions reduction in each layer.
Prefer models where every unit of customer value—less input, energy, downtime or waste—also creates a measurable environmental benefit.
Test integrations, operating constraints, payback, site-level proof and repeatability before extrapolating an industrial pilot into a scalable venture outcome.
AI can create outsized climate and financial returns in heavy industry through resource efficiency, real-time process optimization and predictive maintenance.
Smart meters, home energy management and dynamic tariffs can turn distributed household assets into grid flexibility while lowering energy bills.