Your Documents Sit in Folders.
POD Reads Every One.
Your team uploads hundreds of files every week. Enterprise platforms store them in folder trees. POD accepts any file type — PDFs, photos, handwritten notes, voice — and auto-maps the data inside to your KPIs. Storage is not intelligence.
The Folder Graveyard Problem
Four ways document storage without parsing leaves your project blind
Documents Go In, Nothing Comes Out
Your team uploads hundreds of files per week — daily logs, inspection reports, delivery tickets, safety observations. Enterprise platforms store them in nested folder trees. But the data inside those files never reaches your KPIs. It sits there, unread, until someone manually types it into a spreadsheet.
No Cross-Referencing Between Documents
A daily log mentions a concrete pour. A delivery ticket confirms the mix arrived. An inspection report flags a failed slump test. Three files, three folders, zero connection. You discover the problem days later — after the concrete is already placed and cured.
Photos Are Just Photos
Your foreman takes 40 site photos a day. They get dumped into a folder. Nobody extracts the safety observations, progress indicators, or equipment status visible in those images. They are evidence after the fact, never intelligence before the decision.
Manual Data Entry Is the Bottleneck
Somebody still has to read each document, find the relevant numbers, and type them into the reporting system. That person is your superintendent — the most expensive data entry clerk on the project — spending 45 minutes per day on work a machine should do.
How POD Turns Documents Into Decisions
AI-Powered Document Parsing
Upload any file — PDF, Excel, CSV, P6, MPP, scanned handwritten notes, photos, voice recordings. POD reads the content, extracts structured data, and maps it to the correct KPI fields using a 3-stage AI engine: exact match, synonym match, then fuzzy AI match.
Auto-Map Data to KPIs
Every number, date, and metric extracted from your documents is automatically routed to the right KPI. Crew counts update headcount trackers. Delivery tickets feed material readiness. Inspection results populate quality dashboards. Zero manual entry.
Photo and Handwriting Intelligence
POD uses vision AI to read handwritten field notes, whiteboard photos, and marked-up drawings. Safety observations, progress counts, and equipment status are extracted from site photos automatically — turning visual evidence into structured data.
Voice-to-Dashboard Pipeline
Your foreman speaks a 5-minute voice report instead of writing for 45 minutes. POD transcribes, structures the data, and maps it to hundreds of KPI fields. The dashboard updates before the truck leaves the site.
From File Upload to Live KPI
A blue scan beam reads each file type — data particles lift out and assemble into KPI cards on your dashboard
Document Intelligence KPIs — Freshness & Readiness
Procore stores files. POD extracts intelligence and maps it to KPIs like these automatically.
Material Readiness
PODWhat Makes POD Document Intelligence Different
Accept Anything Architecture
PDFs, Excel, CSV, P6, MPP, photos, scanned notes, sketches, voice. If your field team produces it, POD can parse it. No reformatting. No templates. No restrictions.
3-Stage AI Mapping Engine
Exact field match first. Synonym match second. AI fuzzy match third. The engine learns per project — accuracy improves with every upload, adapting to your naming conventions.
Vision AI for Field Photos
Handwritten notes, whiteboard schedules, marked-up plans, and safety observations are read by AI. Structured data extracted from images that would otherwise just sit in a folder.
Cross-Document Intelligence
POD connects data across documents automatically. A delivery ticket, an inspection report, and a daily log about the same concrete pour are linked — discrepancies surface instantly.
Coverage Score Gamification
See exactly what percentage of your KPI fields are populated. The coverage score motivates teams to upload more data, creating a positive feedback loop that makes dashboards richer every day.
Cloud Storage Auto-Ingest
Connect Google Drive, Box, OneDrive, SharePoint, or Dropbox. When a new file lands in your connected folder, POD detects it via webhook, parses it, and updates your dashboard automatically.
“We were uploading 200 files a week into Procore and none of that data reached our dashboards. With POD, the foreman talks for 5 minutes, takes a few photos, and the KPIs update themselves. We stopped being a filing cabinet and started being a construction intelligence company.”
— The problem POD was built to solve
Frequently Asked Questions
Stop Storing Documents. Start Reading Them.
See how POD turns every file your team produces into live KPI data — PDFs, photos, handwritten notes, and voice, all parsed by AI in under 3 minutes.