Closing the gap between grid engineering and investment decisions.
That gap is where value gets destroyed. And where project finance timelines stall.
Henry Easterbrook
25 years in the commercial management of engineering infrastructure. Former founder and CEO of a publicly-backed energy storage business. I've built, transacted, and operated grid-connected assets long enough to see exactly where value gets destroyed: in the gap between grid engineering and capital allocation decisions.
That gap is growing. And the specialist technical analysis that investors and developers need to make sound decisions is formatted for engineers rather than investment committees.
Quantail exists to bridge that gap. I built proprietary simulation tools, harnessing published data and open source power system modelling software that give me the analytical throughput of a team. Not general-purpose AI with an energy data layer, but purpose-built models for GB grid topology, LIFO queue dynamics, constraint physics, and price formation.
The result: IC-ready screening intelligence in days, not months. At a price point that makes screening 20 sites as practical as screening one.
Synthetic intelligence, not artificial intelligence.
Quantail uses proprietary simulation software built specifically for GB grid analysis. This isn't a general-purpose AI model with energy data layered on top. These are purpose-built tools that model the specific physics, economics, and queue dynamics of electricity network connections.
The software gives me the analytical throughput of a full team, which is why Quantail can deliver at this speed and price point. Every model is domain-specific, every output is traceable, and every assumption is documented.
Domain-specific models
Built for GB grid topology, not adapted from generic tools. Constraint physics, LIFO queue dynamics, and price formation models.
Traceable outputs
Every number has a source. Every methodology is documented. Every conclusion can be challenged and verified.
Speed through software
What takes a traditional consultancy weeks of manual analysis, our models run in hours. That's how we deliver in days at this price.
Commercial judgment
25 years of infrastructure experience means the analysis is shaped by commercial reality, not just technical possibility.
The project finance gap is real.
The GB grid connection queue has swelled to over 700 GW of capacity. Gate 2 reforms are reshaping who gets connected and when. Curtailment risk is the single biggest variable in most renewable and storage project financial models, yet the analysis available to most investors is either months old, regionally generic, or locked behind six-figure consulting engagements.
Without accessible, site-specific grid intelligence, good projects stall at the investment committee stage. Capital that should be flowing into clean energy infrastructure gets stuck in a due diligence bottleneck. Quantail was built to break that bottleneck.
Let's talk about your projects.
No sales team. No gatekeepers. A direct conversation about how grid risk mitigation can help with your investment decisions.
Talk to Henry