Daniel Maitland

Managing Director
Daniel has nearly 30 years’ experience developing IT systems for the electricity and gas supply industry. He developed the retail systems for Enron Direct which were later used for many years by British Gas Business.

He was then one of the founders of Opus Energy and led the team which built their IT systems, developing many core systems himself. These systems went on to supply over 300,000 commercial customers and over 1 million domestic customers through white label arrangements.

In founding Seaglass Cloud Technology, Dan has established a clear model for how he wants a software company to run – with a dynamic approach to development and clear customer engagement in the solution.

Alex Sena

Product Director
Alex is both a developer who creates software solutions for the utility industry and an experienced IT Director managing development and infrastructure operations.

Alex has over 30 years’ experience in the banking, insurance and energy industries, most recently IT Director at Opus Energy where he has overseen the IT journey of a small start-up to its eventual acquisition by Drax Group for £340m.

At Opus, Alex developed innovative billing systems allowing Opus to be first to market with new products whilst keeping operational costs down.

Alex Troth

Commercial Director
Alex has spent over 20 years in the Industry at npower, Opus Energy and Corona Energy.

He has worked in Strategy, Sales, Corporate Pricing, Risk Management and energy efficiency – having established and run some of these departments.

During that time, Alex has helped to bring new suppliers to market, provided strategic and technical advice and carried out system integration projects.

Nicola Cliff

Risk Director
Nicola has over 15 years of Industry experience, focusing on mathematical and technical solutions to complex problems.

As a Head of Risk at Opus Energy, she has worked extensively on Trading Systems, Forecasting, Risk Management tools and Product Development.

She worked alongside her teams to develop several in-house forecasting models (including energy demand, generation, weather exposure, pricing and financial inputs) and a Data Science function.