Shorten diligence.
Bring production data, ownership, completion and lease records together while a transaction clock is still running.
Fluid to insight · Well-file MCP server
A well-file MCP server turns live sensor streams, production feeds, spreadsheets and decades of scanned records into answers your team can query, verify and keep—inside your own systems.
Every number comes back with the page it came from.
Scanned well-file answers · Fact → extraction → page → fileFrom fluid to verifiable insight
The server connects the data already moving through the business with the records sitting in the file room—classifying 19 page types, from division orders and completion reports to plats—so operating, land and financial decisions don't become research projects.
Bring production data, ownership, completion and lease records together while a transaction clock is still running.
Turn decades of “ask the one person who knows” into a record the next person can actually use.
Put the source page behind a revenue decimal, audit response or diligence conclusion before it becomes a dispute.
The server you keep
You buy the well-file MCP server and run it inside your environment. You keep the system. Ongoing help and updates are available as a separate paid tier—not a condition of owning what was built.
Fact to extraction to page to file, so any claim can be checked at the source instead of accepted on faith.
A gap reads as a gap. In the current deployment, 983 of 2,756 files on disk are registered—and the server reports that gap rather than answering as though the rest don't exist.
The server, OCR and inference run inside your environment. Nothing has to leave the building for an outside model API. That's an architectural choice, not a setting.
When the file room becomes urgent
The strongest use cases start with a real trigger—not a general desire to “do something with AI.”
A scanned data room, a compressed clock and questions that can't wait for manual review.
Someone's check is wrong and the proof is buried in division orders or transfer records.
Thirty years of “ask Dale” is about to walk out the door.
The physical file room is already being touched. Make the work compound.
Supporting documentation needs to be produced quickly and defensibly.
A paid proof, not a year-long promise
The product is delivered through an engagement: release a narrow subset—often your top producers—then give the server four weeks to produce useful, checkable answers from your own documents.
Narrow release · four-week proof · ongoing coverage
Choose the starting wells, the document set and the decisions those files need to support.
Define the operating questions, evidence standards and a clear measure of usefulness.
Register the files, process the pages and connect extracted facts to the correct well entities.
Run real questions, inspect the evidence chain and surface gaps instead of hiding them.
Judge the product on your own documents. If the result isn't useful, the commitment ends with the proof.
An engineer works against a defined playbook, expanding the corpus while the MCP server remains on your systems.
The economic framePrice it against the cost of a hire—not against another software seat.
You buy a well-file MCP server deployed on your systems, and you keep the server and resulting record. We deliver that product through an engagement: a narrow data release, a four-week proof on your files, then an engineer working a defined playbook to widen coverage well by well. Ongoing help and updates are a separate paid tier—not a lease on the product you already own.
You have storage and filenames. The MCP server reads and connects what's inside the pages. It's a different layer—and it can sit on top of what you already have.
That's the reason for how this is built. Every answer carries its trace, coverage is reported per query, and failed checks are surfaced rather than smoothed over. Ask to see an answer with gaps; it's a better trust test than a perfect demo.
Don't take our word for it—open the cited page. This is decision support, not a title opinion. Its job is to put the right evidence in front of the right expert faster.
One operator has had the server in production since August. Your files would be the second corpus the system has seen, and we'd rather say that plainly. It's why a new relationship starts with a paid proof on a small released subset instead of a long contract—and why scope and price reflect the stage.
Think of it against the cost of a hire, not a software seat: a system plus a team that works your files continuously. Exact scope follows a look at the shape and condition of the data.
Start with the pressure point
The knowledge in your file room stops being one person's memory—and starts working beside the data already arriving every day.
A first working session is about the decision, the files behind it and the deadline—not a database architecture tour. From there: release a narrow subset, prove the server on your files, then widen coverage with a defined operating playbook.
Email Brian Your system. Your files. Your evidence.