SwarmLens and rp² launch AssureLens for drilling operations
SwarmLens and rp² have launched AssureLens, an agentic AI platform designed to turn archived field knowledge into a searchable intelligence layer for well delivery and capital operations. The platform is now available for enterprise deployment globally and has already been tested on a three-well drilling campaign in the Middle East.
Why it matters: - AssureLens is designed to keep drilling and operations teams from relearning the same costly lessons across wells, rigs and assets. - The platform aims to turn buried reports and individual experience into decision-ready intelligence that can improve safety, cost control and execution. - The launch targets energy, utilities and infrastructure teams that manage complex, high-stakes capital operations.
What happened: - SwarmLens and rp² announced the launch of AssureLens, an agentic AI platform for well delivery and capital operations. - The platform combines multi-agent AI swarms with human-in-the-loop expert validation. - AssureLens is built on a proprietary knowledge graph and rp² performance expertise. - The platform is available for enterprise deployment globally across well delivery, capital project governance and asset integrity operations. - Organizations can schedule a demonstration or explore pilot deployment options at assurelens.tech.
The details: - AssureLens organizes its workflow across four lifecycle phases: Plan, Govern, Execute and Review. - The Plan phase supports collaborative planning, historical risk analysis and predictive scheduling. - The Govern phase covers risk identification, supplier benchmarking, contractor pre-qualification and vendor risk reporting. - The Execute phase includes action tracking, validation workflows, real-time well integrity monitoring and AFE intelligence for budget tracking and cost variance detection. - The Review phase adds KPI dashboards, benchmarking and post-project synthesis for continuous learning. - The platform can process fragmented project documents into live intelligence across upstream well construction, power generation, utilities and large-scale infrastructure. - In a real three-well drilling campaign in a Middle East onshore field, AssureLens processed more than 600 daily and end-of-well reports spanning 12 years of operational history. - The first pass produced more than 20,000 traceable, source-cited insights. - The system mapped hundreds of risk register entries against international standards and sustainability frameworks. - The platform also generated interactive visualizations and data tables. - With human-in-the-loop oversight, the output was refined to just over 400 concise, traceable insights. - The company says every result traces directly back to a source document.
Between the lines: - The launch reflects a broader push in industrial AI toward systems that do more than summarize documents and instead connect history, governance and execution. - The emphasis on traceability suggests the platform is aiming at operational decisions where auditability matters as much as speed. - The partnership also carries a personal history: Harish Pillai said his oil industry career began at rp² in Aberdeen 23 years ago. - Dave Taylor said he worked with just under 350 teams worldwide and believes the partnership can change how teams work.
What's next: - SwarmLens and rp² are positioning AssureLens for pilots and broader enterprise adoption. - The companies plan to use the platform as a continuous learning loop, where each project adds to the knowledge base and improves the next one. - SwarmLens also points readers to more information and rp² to company details.
The bottom line: - AssureLens is trying to make decades of drilling know-how searchable, traceable and reusable at the point of decision, not after the fact.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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