Electricity-related emissions are still too often assessed using national averages. That hides major local differences. Those differences come from the physical reality of the grid: topology, congestion, and where electricity is actually produced and consumed. At the same time, renewable energy is increasingly curtailed because there isn’t enough local demand when it is available, while consumers lack both the information and the incentives to shift or increase consumption at the right place and time.
Nodera was created to solve these two problems together: provide accurate local carbon intensity data and reward consumers when they consume more when low-carbon electricity is locally abundant. The company was founded by Carla Martin (CEO), a senior data scientist specialized in graph theory, and Guillaume Fauconnier (President), a former electricity trader turned electricity contract consultant for large consumers. By combining advanced data science with a physical understanding of electricity flows and how they interact with markets and prices, Nodera can translate flexibility into both environmental impact and financial value, including optimized electricity contracts that can deliver up to 15% cost reductions.

We design our products to measurably reduce the environmental footprint of electricity consumption by enabling cleaner, more efficient use of local energy.

Our work starts from the physical reality of electricity grids: modeling flows, constraints, and local conditions that shape real-world emissions.

We use advanced data science, forecasting and graph-based methods to translate complex energy systems into actionable, real-time decision signals.
We operate as a small, focused team with strong ownership, favoring simple, maintainable solutions and fast iteration that delivers measurable customer value.

We believe diverse perspectives build better systems. Gender parity and inclusion are integral to how we build our team and our company.

We actively contribute to education by working with master’s students at leading schools, providing hands-on experience with real electricity data, and participating in academic collaborations.