Nuneaton, England, United Kingdom
I'm Dan. Founder of Atlas AI Solutions, and after more than a decade inside UK energy networks, I'm building the tools I wish I'd had. I spent my career at Cadent and National Grid, working across operations, strategy, innovation, and latterly leading the Net Zero analytics team and the hydrogen and bio-methane network build teams. I watched brilliant engineering, analytical, and specialist teams spend weeks on feasibility assessments, network modelling, and building analysis from scratch — work that with the right software should have taken minutes. I watched strategic decisions stall because the underlying data couldn't be defended or wasn't ready when it was needed. And I watched off-the-shelf tools arrive promising to change everything, only to fail the moment they met regulated reality. I tried to fix it from the inside. In a regulated industry, the pace is brutally slow. So last year I left to build it properly. Atlas AI Solutions is the result. We combine physics-based engineering, machine learning, and geospatial data to give operators and their customers answers that are accurate, defensible, and operationally real — not just theoretically right. Atlas AI has been accepted onto the Geovation Spring 2026 Accelerator, which provides the ecosystem that takes our work from theoretically right to operationally useful. Alongside Atlas, I run Ignite Curiosity, the company behind Bobl (Building on Basic Learning) — an AI homework tutor for children that scaffolds reasoning through Socratic prompting rather than providing answers for them to copy and paste. Two different sectors, one thesis: AI and automation should make people more capable, not more dependent. Whether the user is a network engineer defending a strategic investment or a twelve-year-old working through algebraic equations, the design principle is the same — build tools that deepen understanding, not shortcut it. If you're working inside a regulated network, investing in infrastructure or climate tech, or want to compare notes on the messy reality of the energy transition, reach out on here or at [email protected]. If you're a parent or curious about Bobl and would like to know more or join our beta testing round, get in touch at [email protected].
Atlas AI builds automated physics-based and AI-driven solutions for UK energy networks and critical infrastructure. We weren't built by software developers looking for an industry to disrupt. We were built by people who've spent decades inside the regulated industries we now serve — living the problems, understanding the processes, and seeing where decisions get stuck. That experience shapes everything we build. Our platform combines physics-based engineering, machine learning, and geospatial data, so the decisions our users make are accurate, defensible, and operationally real. We're building two products on this foundation: - ARC (Atlas Renewables Connect) — grid connection feasibility in minutes, not months. Giving developers, local authorities, and networks themselves clear, spatial, asset-level answers to connection questions. - FORA (Forecast and Operational Resource Allocator) — reactive workload forecasting and resource optimisation using modern machine learning (gradient boosted trees, neural networks) trained on operational, weather, and geospatial features. Atlas AI has been accepted onto the Geovation Spring 2026 Accelerator — Geovation, from Ordnance Survey, in association with HM Land Registry.
Ignite Curiosity is the company behind Bobl (Building on Basic Learning) — an AI homework tutor for children aged 7 to 18. Bobl uses a Socratic approach: asking questions, scaffolding reasoning, and helping children work through problems themselves rather than providing answers for them to copy and paste. Because AI that does the thinking for children doesn't help them learn — it replaces the point of learning. We're building for parents who want their children to engage with AI in a way that deepens understanding rather than shortcuts it. Same thesis as Atlas AI, different sector: AI and automation should make humans more capable, not more dependent. Currently in development, with a beta programme opening soon. If you're a parent curious about Bobl and would like to join our beta testing round, get in touch at [email protected].
iTower Analytics is a specialist consultancy serving UK critical infrastructure operators — the consulting arm and innovation foundry behind Atlas AI Solutions. We combine deep operational expertise from the UK energy sector with modern analytical methods to help networks, regulators, and infrastructure clients solve problems that off-the-shelf consulting can't reach. Engagements span strategic analytics, Net Zero and decarbonisation planning, operational forecasting, connection feasibility, regulatory strategy, and independent investigations. Every engagement is led by people who've actually run these processes from inside the industry. Not theoretical advisors. Operators who understand the decisions, the regulatory context, and the operational reality.
Led the strategic analysis shaping Cadent's transition to Net Zero and drove cross-industry collaboration on whole-system energy projects with DNOs, DESNZ, and Ofgem. Key Achievements: • My strategic contributions on hydrogen viability and pathway analysis supported a team CEO award. • Led the crucial future energy scenario modelling and analysis for the RIIO-GD3 price control business plan. • Architected Cadent's Local Area Energy Planning (LAEP) processes, providing data-driven advice to support local decarbonisation pathways. • Acted as business owner for the SIF DPLA (Digital Platform for Leakage Analytics) project.
Recruited and led an award-winning team to establish new, company-wide standards for performance monitoring, reporting, and risk mitigation. Key Achievements: • Initiated and chaired a cross-network Performance & Controls Forum that fostered best practice across the business. • Enabled the identification and recovery of over £20M in incorrectly recorded costs through the implementation of improved data capture and system procedures. • Established a proactive risk mitigation culture to address potential issues before they could impact programme delivery.
Spearheaded the implementation of a new Strategic Planning function within North London operations, driving capacity planning and workload strategies to align with business objectives. Key Achievements: • Developed and deployed data-driven forecasting models that enabled the North London network to recover from a 6% RIIO risk deficit to a projected surplus. • Identified significant IS system issues that led to the recovery and realignment of over £2M p.a. in incorrectly recorded operational costs. • Designed optimised shift patterns for the Emergency & Repair field force, improving workforce utilisation while exceeding risk and fatigue targets.
Senior Analyst responsible for the developing 10 year strategic workload resource plans and performance management t data
Planning workload for repair resources in the NW Gas D network.