An Aberdeen artificial intelligence company behind technology helping to cut the cost, complexity and risk of offshore decommissioning has been selected for one of the world's most prestigious commercial AI accelerator programmes.

rahd·AI turns decades of buried well records into structured, traceable intelligence, the foundation for true 4D decommissioning planning. With every data point linked to its source document, engineers de-risk designs, campaigns run shorter, and regulators get the audit trail they need for faster, more confident approval.

The platform enables operators to plan decommissioning campaigns more quickly, reduce engineering time, improve regulatory confidence and lower project costs in a global market expected to exceed $200 billion by 2040.

The groundbreaking technology has now been selected for Cohort II of the Presight AI Accelerator in Abu Dhabi after a fiercely competitive international selection process. 

A total of 376 AI companies from 62 countries applied for the programme, 33 reached the final shortlist and just 12 were ultimately selected. rahd·AI was the only UK business to secure a place.

The Presight AI Accelerator is designed for proven, market-ready AI companies rather than early-stage start-ups. 

Collectively, the shortlisted businesses had already raised more than $341 million in investment and generated $28 million in contracted recurring revenue, with the programme focused on helping participants secure commercial contracts, enterprise partnerships and government opportunities across the Middle East and beyond.

Operated by Presight, the Abu Dhabi-listed artificial intelligence and big data analytics company within the G42 technology group, the programme provides direct access to one of the world's fastest-growing AI ecosystems

For rahd·AI, the programme represents a significant commercial opportunity, providing a route into the Middle East as its fourth international market alongside the UK, the United States and Australia. 

Participants receive access to enterprise-scale computing infrastructure, technical support from specialists at Presight, G42, MBZUAI and Microsoft, together with introductions to major government and corporate customers across the region.

The accelerator also provides companies with the opportunity to pitch to the Presight–Shorooq Fund I, a $100 million global AI investment fund established to back high-growth AI businesses capable of scaling internationally.

Jake Stride, Chief Executive of rahd·AI, said: "This is a significant milestone for rahd·AI and a huge endorsement of the technology our team has built.

"Being selected as the only UK company from such a competitive global field demonstrates that we are solving a problem with worldwide relevance.

"The Presight AI Accelerator is not about ideas; it is about helping proven AI companies scale internationally through real commercial opportunities.

"The Middle East is an important strategic market for us and this programme provides unrivalled access to customers, partners and investors across one of the world's fastest-growing AI ecosystems.

"Combined with the continued enhancement of our platform and our recent progress in the United States, this creates real momentum as we continue building a globally significant AI company from Aberdeen."

Innes Grant, Chief Operating Officer at rahd·AI, added: "The quality of the companies selected and the organisations behind the programme speaks for itself.

"Presight and G42 are recognised globally for applying AI at enterprise scale. Their validation provides an exceptional platform from which to enter the Middle East and accelerate our international growth."

Founded in Australia and developed in Aberdeen, rahd·AI has ambitions to become the global platform for offshore decommissioning intelligence. 

The company has already demonstrated cost savings through live customer deployments and believes its technology has the potential to reduce offshore decommissioning costs by up to 35%, generating billions of pounds of savings for industry and taxpayers alike.

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