Squid 🦑 AI-powered grid planning in your browser
The electricity grid is the most important machine on Earth - but planning is still file chaos. One trusted model fixes it.
TL;DR: Grid decisions still get made across emails, spreadsheets, PDFs, GIS exports, and conflicting model versions. Squid (squid.energy) gives utilities a single, trusted model (a live, versioned grid map of substations and lines, with evidence attached) so planning is consistent, and decisions ship faster.
The problem
Most grid organisations have the tools for analysis, but the decision trail is fragmented:
- models live in specialist tools
- evidence lives in decks/docs/spreadsheets
- assumptions live in people’s heads
Result: slow planning cycles, endless “which version is right?”, and hard-to-defend decisions.
Our solution
Squid is a workspace where the model of the electric grid at the center.
- Unify messy grid data into one coherent model (and keep it current)
- Version everything so changes are trackable and comparable
- Attach evidence + assumptions to the model, where decisions are made
- Run repeatable workflows for planning, connections, and network change
Why now
Electrification is accelerating and the grid is the bottleneck. The old workflow - files, handoffs, static reports - doesn’t scale to the pace of change.
Why us
We’re Conor Jones and George Kolokotronis. We’ve built inside National Grid, Octopus Energy, and AWS - we’ve lived the pain, and we’re building the system we wish we had.
Our ask
We’re looking for design partners at grid operators (planning, connections, modelling, GIS, asset strategy). If that’s you - or you can intro us - please reach out: hello@squid.energy
