Squid

Roadmap & Position in Grid Infrastructure

AI-powered collaborative platform for electric grid planning and scenario simulation for utilities.

Company Overview

Builds an AI-powered, collaborative SaaS platform for electric grid planning and modeling that uses machine learning to automate scenario simulation, predictive analytics, and evidence-backed decision-making for utilities and grid operators.

What They're Building

The company's public product roadmap & what they're committed to building.

Squid has publicly announced a unified, versioned grid model workspace with evidence and assumption attachment, repeatable AI-driven workflows for planning, connections, and network change, and browser-based collaborative grid modeling. They highlight SOC 2 Type II and ISO 27001 certifications, named enterprise customers (National Grid, Octopus Energy), and a testimonial from Octopus Energy's Head of Flexibility Markets describing active production use. Their public thesis centers on one trusted network model replacing fragmented file-based workflows as electrification accelerates.

Latest Intelligence

Zeitgeist tracks private signals to determine where the company is heading strategically.

Utilities Need A Shared Grid Model

May 13, 2026

Confidence:

High

New Intel: Squid is building a shared, versioned grid-model workspace for utilities, with AI planning workflows and enterprise security. National Grid and Octopus Energy references make this look like production grid infrastructure.

Founder and Key Execs

Conor Jones, Co-founder

Co-founder,

Founder Force Multiplier

Squid combines deep operational experience from National Grid and Octopus Energy, two of the UK's most new grid and retail energy companies, with top-tier cloud engineering expertise from AWS.

Funding History

2025 | Conor Jones and George Kolokotronis co-found Squid.
2026 | Accepted into Y Combinator Winter 2026 batch

Competitors

Traditional Grid Planning Tools

PSS, ETAP, DIgSILENT PowerFactory, GE PSLF.

Legacy Utility Software

: Oracle Utilities, SAP for Utilities, OSIsoft

AI-Native Energy/Grid Startups

: Utilidata, Sense, Amperon, GridBeyond

Squid

's Moat:

Deployed at National Grid and Octopus Energy, two of the UK's most progressive grid and retail energy companies. SOC 2 Type II and ISO 27001 certification clears procurement for regulated utilities. Browser-based collaborative platform replaces file-based models, creating a system of record for grid planning decisions.

How They're Leveraging AI

Agentic Simulation & Optimization

AI agents automate the creation, updating, and stress-testing of grid models, enabling planners to simulate network changes, new connections, and infrastructure upgrades in real time.

Time-Series Forecasting

ML models forecast demand, asset health, and DER (Distributed Energy Resource) impacts to inform long-term infrastructure investment and maintenance decisions.

Data Orchestration / NLP

AI automates the ingestion, linking, and versioning of grid, market, and flexibility data, attaching evidence to every planning decision for auditability and transparency.

AI Use Overview:

Using agentic simulation and optimization for grid planning, time-series forecasting for demand prediction, and data orchestration NLP for grid analytics.

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