AI-assisted data operations for home-service businesses
From messy records to reliable business data. We clean, reconcile, and structure the information behind your operations, margins, and customer history.
ServiceTitan, QuickBooks, web portals, spreadsheets, PDFs, images, and legacy systems.
StructuredImport-ready outputs
ReconciledExceptions made visible
ControlledAI with human review
TraceableSource-to-result evidence
What we do
When reports disagree, imports are risky, or important records live in five different places, Scannur builds the controlled path from source data to a usable answer.
Foundation
Extract from APIs, exports, documents, images, and user interfaces, then standardize, match, and validate the records before they enter a new system or reporting model.
Revenue integrity
Connect jobs, invoices, payments, memberships, and accounting activity so missing or mismatched revenue can be reviewed with evidence.
Profitability
Turn historical labor, material, pricebook, and financial results into practical rate and pricing decisions by division.
Field records
Convert equipment photos, nameplates, and field inputs into structured records your office and technicians can actually use.
How it works
AI accelerates the work. Defined rules, review queues, and source evidence keep the result accountable.
Identify the business question, source systems, data gaps, and the decision the final output must support.
Normalize records, establish matching logic, and separate clean data from items that need human judgment.
Reconcile totals, sample source evidence, test exceptions, and document confidence before delivery.
Deliver an import, report, recurring workflow, or monitored process your team can continue using.
Representative work
Each engagement is built around a specific operating decision and a reviewable output.
Revenue operations
Connected membership sales, invoice services, job records, and maintenance schedules to isolate completed, missing, and review-required visits.
Output: completion report, exception queue, and recurring-service creation plan.
Margin operations
Combined operating history, pricebook data, labor assumptions, and financial results into a management-ready first-pass model.
Output: labor-rate guidance, margin scenarios, and executive summary.
Field data
Captured manufacturer, model, serial, equipment type, and installation details from field images for downstream use.
Output: validated equipment records and a repeatable mobile workflow.
Scannur Equipment Capture
Technicians photograph an equipment nameplate. Scannur extracts the important fields and gives the team a clean record to verify instead of another image trapped in job history.
CapturePhoto, barcode, model, serial, and field context
ReviewConfirm extracted fields before they become system data
ConnectUse the result in ServiceTitan and operational workflows
Scannur Mobile
The original Scannur app remains available for barcode scanning, item records, shared lists, reverse-image workflows, and field capture.
Need help? support@scannur.com
Start with the problem
Show us the records that do not agree, the workflow that keeps breaking, or the report you cannot trust. We will define a practical first pass before proposing a larger project.
Prefer email? support@scannur.com
