Cutting the cost of decommissioning
Global oil and gas decommissioning costs are projected to exceed $200billion by 2040.
But across the world, critical well data remains fragmented across decades of reports and engineering records.
rahd·AI transforms this complexity into structured well intelligence - enabling faster, safer, and more confident decommissioning decisions.
Our mission is to cut the cost of decommissioning by 35%
rahd·AI is an artificial intelligence breakthrough which will save taxpayers and industry tens of billions of pounds through more efficient removal of oil and gas infrastructure.
We have already achieved and validated savings of 15% in 2025 – and we are now sprinting towards a 35% saving by 2027.
Reduce costs
Our platform automatically extracts and structures legacy well data to limit costly rework, contractor hours, and decommissioning planning costs.
Ensure compliance
With rahd·AI, every data point is fully traceable to its source document. This gives engineers a transparent audit trail to enable instant validationand ensure regulatory compliance and confidence.
Reduce risks
Surface well characteristics and risks in minutes. Our platform helps engineers identify barrier conditions, historic events, and well architecture to support safer designs and reduce regulator pushback.
Plan quickly
Turn weeks of campaign preparation into days. With rahd·AI, engineers can query centralised well data in natural language and instantly retrieve structured insights across thousands of documents.
The software in action
View a demonstration of the platform, as presented to the Technology Leadership Board (TLB) by TotalEnergies, showing real-world usability and application.
Built on a trusted source of data
Our platform is built on the largest validated dataset of its kind, allowing you to gather insights you can trust.
4.5 k+
Platforms
15 k+
Wells
2 k
Pipelines
Our team
Jake Stride
Chief Executive Officer
Jake is a technology and energy executive with experience applying data and AI to industrial problems. He previously led digital transformation at BHP, was Global Technology Strategist for Resources at Microsoft, CEO of SilverhorseTechnology, and has built and exited a SaaS company.
Innes Grant
Chief Operating Officer
Innes is an experienced operator with a background in enterprise technology consulting and growth. At Accenture, he held senior roles across software, M&A, and corporate development, and helped scale Avanade to 60,000+ people and $4.5bn revenue, most recently serving as Chief of Staff to the CEO.
How to get started with rahd·AI
Our platform is built on the largest validated dataset of its kind, allowing you to gather insights you can trust.
Pilot implementation programme
A Pilot Implementation Programme is how rahd·AI introduces its software into a live decommissioning campaign - typically a single well, platform, or work scope.
The goal isn't to test whether the software works; that's already proven. The purpose is to integrate rahd·AI into your team's existing planning, engineering and execution workflows.
This means that by the time we scale across your broader campaign, the people, processes and data are already moving as one.
Rapid implementation programme
Once the pilot is complete, the Rapid Implementation Programme scales rahd·AI across the rest of your decommissioning campaign.
With integration patterns already established and your team familiar with the software, deployment can move quickly across wells, platforms or work scopes.
