The energy sector in Europe and around the world is struggling to fulfill the increasing demand while simultaneously transitioning into a new age of clean energy. Countries leading the transition towards clean electricity sources are facing a new challenge - integrating a growing number of distributed energy assets into the grid while maintaining stability. Introducing power sources affected by external forces such as weather, makes it increasingly more complex to predict future electricity production - an issue pushing uncertainty downstream to grid operators, energy traders, aggregators and providers.

On the other side of the equation are the consumers driving the demand. Electricity is expensive to transport and has limited storage capabilities. The consumption is predictable, but only when viewed broadly and it experiences significant fluctuations in different parts of the grid due to a growing number of new demand types such as electric vehicles and heat pumps. Yet western countries rarely see it being cut off as a result of a shortage. This is because at any point in time there are idle, often dispatchable and fossil-based, backup generators ready to step in.

The entire ecosystem is balanced between two uncertainties - consumption and production - with an expectation to deliver power where necessary no matter the circumstances. Due to the volatile and externally affected nature of the system, there is a constant need for making predictions about the future and acting on changes in an increasingly shrinking time-frame. All actors across the supply chain are doing their best to capture, model and simulate different parts of the system as that is how they outperform the competition and reach optimal efficiency while reducing the environmental impact.

We believe that companies such as rebase are spot on in their reasoning by introducing easily manageable AI to the space. Large systems dependent on numerous variables with a restricted time to act are a perfect fit for AI. By providing high quality data about factors such as weather and power system price signals through their APIs and lowering the barrier to create/maintain AI models with the platform, rebase exposes new possibilities to all actors within the space. The platform offers multiple layers of customization making it feasible for customers with varying degrees of technical capabilities and has a clear focus on making energy modelling fast, reliable and flexible through an open-source approach.

The rebase team has experience in energy system modelling acquired at large utility companies and has done a great job in capturing the essentials of what users expect from an energy modelling platform. The steadily growing customer base and increasing engagement tell a promising story of a product ripe for the current market.

From an engineering perspective, rebase has done a really impressive job. We were happy to see that the product is built following solid engineering principles and delivering on the promise of being a robust and scalable platform. This is especially important to us as it is our area of expertise and an vital component in creating a foundation for future expansion. Recruiting top talent in the future will require the stack to conform to the highest of standards and Rebase has done a fantastic job in making sure their codebase meets the expectations.

The growing market, good timing, market fit and an excellent team convinced us to invest in rebase in a bridge investment necessary to ensure the company's steady growth. Along with the financial boost, we provide our expertise within data & AI, enhancing the already strong team with our guidance from a technical standpoint.

rebase is our first step into investments outside of the Backtick group and we could not have hoped for a better start. Follow us and rebase on our journey towards a data-driven future.

Visit the rebase homepage for more information about the company: https://www.rebase.energy/