Oil and gas experience meets engineering, data science and AI.
PINN AI was built to turn fragmented subsurface evidence into repeatable intelligence for drilling, development, asset optimization and acquisition decisions.
Most operators still do not have a purpose-built, deep data-science AI platform for subsurface decision-making.
General-purpose AI tools such as ChatGPT and Claude are useful. They are not substitutes for an integrated oil and gas subsurface intelligence platform built around well, log, production, completion, geospatial, rights and economic evidence.
The majors and supermajors have had dedicated data-science and subsurface technology teams for years. That capability is expensive to build, difficult to maintain, and hard to justify for many independents.
PINN AI is intended to close that access gap: bring rigorous data engineering, automation, analytics and evidence discipline into a platform that technical teams can actually use.
That is not a failure of ambition. It is a failure of access — and access is a solvable problem.
We knew there had to be a better way.
We have drilled expensive wells with far less subsurface intelligence than the capital at risk deserved. Sometimes the technical foundation was little more than regional understanding, offset performance and the best evidence available at the time. Sometimes the wells worked. Sometimes they didn’t.
But when you’re drilling a mile-long lateral through geology that isn’t a uniform blanket sand, “this should work” isn’t a satisfying answer.
We believed there had to be a better way to bring the available evidence together before the capital was committed. So we built it.
“We thought there had to be a better way, so we built it ourselves.”
— Todd Garner, Founder & CEO
Automated Subsurface Intelligence™ is the capability we would have wanted when those drilling, development and acquisition decisions were ours to make.
No one replaces the technical team.
The geologist still understands the geology. The engineer still understands the well. The land professional still understands the rights. The acquisition team still owns the evaluation.
PINN AI collapses the time spent on analysis so the professionals can validate what the evidence shows—and focus on what they do best.
A recommendation is only as defensible as the evidence beneath it. PINN AI preserves the path back to source truth, making it easier for the technical team to validate.
Well Intel AI™ helps technical teams analyze existing assets, rank drilling opportunities and identify overlooked potential. Acquisition Finder™ extends that intelligence to assets under evaluation, helping technical, acquisition and finance teams determine where capital may create the most value.
These are the tools we wished we had when we were making those decisions ourselves.
Built from operating experience, engineering and data science.
Todd Garner
Founder & CEO · Chief Development Engineer & Platform Architect
Mr. Garner founded PINN AI after more than two decades in senior oil and gas management, where technical, operating, acquisition and capital-allocation decisions repeatedly exposed the same problem: valuable subsurface evidence existed, but too often remained fragmented across disciplines, systems and workflows.
As Chief Development Engineer & Platform Architect, Mr. Garner defines the product architecture and development direction for PINN AI and its Automated Subsurface Intelligence™ platform.
His background combines 22 years of senior oil and gas management with engineering, finance and data science. He holds a B.S. in Engineering Physics from Texas Tech University, an MBA in Finance and Entrepreneurship from Rice University, and an M.S. in Data Science from Southern Methodist University.