Predict

PredictX

Optimise

Actuate

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Predict

PredictX

Optimise

Actuate

Compare features

Contact

Sign in

View products

Our Mission

Harnessing the power of digital twins and AI to minimise energy and carbon emissions from buildings.

We want to revolutionise building energy management, to save over 10Mt of Carbon emissions via cutting-edge technologies, such as Digital Twins and Generative-AI.

Values

Client Centric

Delivering solutions for our clients and their customers that improve the way they work and live.

Transformative

Pushing the boundaries of digital technology in the pursuit of delivering a zero-carbon built environment.

Inclusive

Creating a friendly environment where people can be themselves without worry of prejudice.

Radical

All our staff commit to work out of their comfort zones in the pursuit of technological solutions to save our clients energy and carbon emissions.

Work to live

We work hard to be at the forefront of digital innovation and grow our business, but prioritise family and mental health above all else. If the surf is up, go surfing!

Team

Nick Tune

CEO, Co-founder, Strategy Lead, Sales & Operations

With over 20 years in Contech and AECO digitalization, Nick has founded two tech businesses, was the Global Technical Engineering Director at ATKINS, and served as Commissioner for the National Infrastructure Commission in Wales.

Prof. Yacine Rezgui

CSO, Co-Founder, Product Innovation Lead

Prof. Yacine is a Professor in Urban Intelligence at Cardiff University, and the Smart Cities Lead Assessor for the European Commission.

Ioan Petri

CAIO, Artificial Intelligence Lead

Ioan is the CAIO of Optimise-AI and Associate Professor at Cardiff University specializing on fast machine learning and edge computing for energy systems. He is a specialist in the development of artificial intelligence techniques using transfer and federated learning, neural networks and genetic algorithms and their subsequent application for energy systems optimization in the built environment.

Thomas Beach

CTO, Product Development Lead

Tom is CTO of Optimise-AI and a Reader in Construction Informatics at Cardiff University, who holds a PhD in Computer Science and has been working in the built environment research field for many years.
Tom’s has expertise in the use of optimisation, machine learning and artificial intelligence algorithms to create an intelligent built environment.

Simon Thomas

Chair

Serial entrepreneur within the AEC sector with over 20 years SME and Corporate Board experience. A passion for designing commercial structures that can grow with a business, particularly in the built environment sector, whilst putting together leadership teams to ensure a business not only grows but thrives, increasing shareholder value.

The Optimise AI workflow

Optimised energy management of non-domestic buildings.

hello@optimise-ai.com

Optimised energy management of non-domestic buildings.

hello@optimise-ai.com

Optimised energy management of non-domestic buildings.

hello@optimise-ai.com