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rahd.AI has developed an artificial intelligence platform that significantly reduces the cost of decommissioning oil and gas infrastructure, which is currently expected to cost over $200billion worldwide by 2040.

The mission

rahd·AI is an artificial intelligence breakthrough, built with customers to save oil and gas operators and governments tens of billions in decommissioning costs. 

By uniting industry and government, it addresses one of the world’s biggest challenges; retiring oil and gas assets at the end of production. This is expected to cost over $200billion worldwide by 2040, with estimates of 33% of global offshore decommissioning spend being in Europe during the years leading to 2030. 

The sector has long struggled with fragmented, unstructured data scattered across databases, buried in dense documentation, or locked in outdated formats. This lack of visibility and cohesion hinders decision-making around campaign planning, supplier mobilisation, infrastructure, and regulation.

Mergers and asset transfers only add complexity, often requiring costly external data collation and internal validation.

Validated cost-saving on decommissioning costs 15%

Enter Ventex

With operational backing and new investment, rahd.AI has relocated its innovation hub to Aberdeen and expanded its leadership with global energy and tech experts.

It has built a validated evidence base through benchmarking pilots and trained its AI on the largest proprietary decommissioning dataset of its kind; 15,000 wells, 4,500 platforms, and 2,000 pipelines.

This enables the transformation of decades of unstructured data into real-time, actionable insights.

The platform also adapts oil and gas planning and risk tools to support regulators, operators, and governments. Pilots in Australia and the UK have already shown an 85% reduction in data discovery time and a 10% cut in decommissioning costs.

 

Time-saving on data discovery 85%

Results

Since joining the Ventex portfolio, rahd.AI has secured major investments, expanded its customer base alongside government bodies, and deployed its product in offshore decommissioning projects.

With a clear technical roadmap, it is on track to help the UK Government achieve its 35% cost reduction target by 2028, seven years ahead of schedule. 

rahd.AI is proving that AI can unlock billions in savings and reposition decommissioning as a strategic advantage, not just a regulatory obligation.

Cost saving target for 2027 35%
Aberdeen, UK
Portfolio company since 2023
Cumbria, UK
Portfolio company since 2024
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