Solutions: three AI product areas for upstream oil and gas

1. Agentic seismic-interpretation workflow Pilot discussions

Problem: Seismic interpretation often spans separate vendor tools and many repetitive steps, which lengthens interpretation cycles.
Approach: AI agents that connect existing interpretation tools, automate repetitive steps such as fault, horizon and geobody interpretation, and compare outputs across systems. The interpreter reviews and decides.
Built for: independent operators, oilfield service companies and software vendors serving U.S. upstream.

Problem: Early signs of stuck pipe, poor hole cleaning, wellbore instability or kick risk are easy to miss, and comparing well-design scenarios takes time.
Approach: Analysis of real-time drilling parameters, surface rig data, mud logs, offset-well histories and formation context to flag early risk indicators, and scenario comparisons for casing, trajectory and hydraulics, with human approval and an audit trail built in.
Built for: independent operators, oilfield service companies and software vendors serving U.S. upstream.

Problem: Decades of subsurface, drilling and production data sit in siloed, format-sensitive legacy systems that modern tools cannot easily use.
Approach: AI agents that clean, structure and import legacy data into modern platforms, with a plain-language search layer over well logs, seismic records and technical documents, with sources shown.
Built for: independent operators, oilfield service companies and software vendors serving U.S. upstream.

Production optimization and decline analytics, after early customer validation.

Engineer in the loop: Outputs are explainable and reviewable; the expert decides.
Fits your workflow: We aim to work with the data and applications your teams already use.
Generative AI where it helps: For example, summarizing reports and querying technical archives, with sources shown.
Your data, your control: Client data stays under the client's control by design.