Every record a site needs: parcels, topography, flood panels, zoning, permits, utilities, plus the deeds and prior surveys buried in scanned PDFs, found, read, and cross-checked into one clean file. With a citation on every value, and every conflict flagged before your crew leaves the office.
Used daily by surveying firms running real client jobs.
Parcel data here, flood panels there, zoning somewhere else, each with different datums and vintages. Every job starts with the same scavenger hunt across county and federal sources.
Fifty-year-old scanned deeds, plats, and prior surveys in inconsistent formats. OCR chokes on them, so someone still reads and re-types every one by hand.
A deed that disagrees with a neighboring survey, or boundary data that doesn't reconcile. Too often nobody catches it until a crew is already standing on the parcel.
Describe the site or parcel. Get back a single, ready-to-use table with every layer you asked for already joined and aligned.
Vision-LLMs read scanned, decades-old deeds and prior surveys accurately, with no OCR guesswork on documents that were never designed to be machine-read.
A deed that disagrees with a neighboring survey, or a boundary that doesn't reconcile, surfaced before your crew leaves the office, not after.
Each field traces back to its authoritative source and pull date. Defensible for clients, reviewers, and the record.
Projections reconciled, units normalized, timestamps matched. The cleanup step is done before the file reaches you.
County assessor and GIS, USGS, FEMA, municipal zoning and permits, county recorders, utility and ROW records, composed, not scraped from somewhere sketchy.
An address, a parcel number, a county boundary, and the layers and documents you need for this job.
It locates each GIS source, reads scanned deeds and prior surveys with vision-LLMs, reconciles projections and units, and flags where sources disagree.
A clean file with a source citation behind every value and a conflict report where anything didn't reconcile, in the format your workflow expects.
The data engine behind Mobus started as an open-source project researchers use to search across dozens of public data platforms.
Explore the open-source projectSurveying firms run Mobus on live client jobs today. This is the same engine, built first for land surveying and expanding along the same construction data problem.
Nothing is a black box. Every value carries its source and pull date, so the work holds up when someone asks how you got it.
We're working with land surveying firms today and onboarding more by hand. Tell us the data and documents you pull together most, and we'll build it for a real job, together.
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