About
Our Mission
To accelerate the transition to a clean, electrified and intelligent economy.
Electricity is the foundation of the modern economy. Clean generation is expanding rapidly. Transport, industry and digital infrastructure are moving onto the grid. But the network was not built for this pace or scale of change. Grid capacity has become the defining constraint on asset deployment. But at the moment there is limited visibility of grid capacity. This needs to be fixed.
How It Started
Yottar began with a simple observation. Developers were making multi-million pound infrastructure decisions with almost no reliable view of grid feasibility. The information existed, but it was scattered across PDFs, spreadsheets, maps and internal systems. Planning data and operational data were separated. What was published was often static and difficult to interpret. Connection risk was being discovered late in the process, after time and capital had already been committed.It was clear that the problem was not a lack of ambition or investment. It was a lack of structured, usable grid intelligence.
What We Built
We started by bringing together publicly available network data to make it easier to see nearby substations and connection points. That improved visibility, but it did not answer the deeper question: what can the network actually support? So we moved beyond aggregation. We began building structured network models and running automated power flow analysis to assess real capacity. Instead of relying solely on static registers, we started to simulate network behaviour to understand constraints and likely outcomes. This approach allows developers to assess feasibility earlier and with greater confidence.
Where We Are Now
Our platform is already being used to support decisions on EV charging, distributed energy, industrial electrification and large-scale demand projects such as data centres. But we want to go further. We have set our sights on building a detailed digital twin of the electricity grid and running power flow modelling across this model. Whilst we are building this we are also looking to support early feasibility assessments and grid workflow optimisation.
We have raised our first round of funding and partnered with National Grid DSO to advance our modelling capability.
Where We Are Going
Electrification is accelerating. Clean generation is scaling. Large demand assets such as data centres, EV fleets and industrial loads are growing rapidly. At the same time, network constraints are becoming more visible and more consequential. We believe grid capacity should not be opaque or reactive. It should be structured, modelled and continuously updated. Our next phase is focused on enabling early grid feasibility assessments, building out our digital twin of the grid, and working directly with the networks to improve modelling accuracy. That includes a much more detailed model of the networks, better integration of planning and operational data, more granular representation of constraints, and clearer insight into how connection outcomes evolve over time.
Over the long term, we see the electricity networks becoming a platform that support faster and better infrastructure decisions across the economy, to help site and operate assets. Yottar’s role is to help build the digital foundations to enable this.
We are still at an early stage, but the direction is clear. As electrification accelerates, building a detailed understanding of grid capacity and how power is flowing across networks will become increasingly important. Our aim is to make that understanding more accessible and reliable.
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