QcHelperThe answer exists. It’s on page 43 of a PDF nobody has open.
An industrial project runs on thousands of pages of controlled documents — specifications, drawings, weld procedures, line lists, inspection plans — spread across folders, revisions and disciplines. The information is all there. Getting it out is the job nobody has time for.
Building or inspecting from Rev B when Rev C changed the detail is one of the most expensive routine mistakes on a site.
A hold point that waits twenty minutes for a tolerance or a test pressure multiplies across every crew, every day.
When the person who “knows where everything is” is on days off, the whole team slows down.
Ask your documents.
QcHelper is a Windows desktop application. Point it at your project folder and it builds a local index of every document. Then ask questions the way you’d ask a colleague — QcHelper searches the whole set at once and answers with the source documents attached.
Real app screenshot — the documents shown are a fictional demonstration project.
Built around a QC day — not a generic chatbot.
QcHelper was built hands-on around real quality-control practice — document control, inspections and field questions. It answers the questions your day already asks.
Answers shown are re-creations from the fictional demonstration project.
Built for a field where wrong answers cost money.
01Cited, verifiable answers
Answers name the documents they came from. One click opens the real file. Trust, then verify.
02Built not to invent answers
Ask about something your documents don’t cover, and QcHelper says exactly that — and shows what it reviewed. Verified in a 100-question machine-scored battery (June 2026): 790/790 cited sources checked out, 10/10 traps answered honestly.
03Revision-aware
Retrieval penalizes superseded documents and flags them in the answer, so the current sheet comes out on top.
04Private by design
Your files stay on your machine — parsing runs locally, and the search index is stored on your desktop.
Three steps. No IT project.
Install QcHelper and point it at your project folder. It parses PDFs, drawings and specs on your machine — including scanned pages via OCR — sending text excerpts over TLS to VincData’s private servers in Canada to build the index, which is stored locally.
“What’s the hydrotest pressure for the high-pressure piping?” — plain English, across every document at once.
The answer typically arrives in seconds, cited to its sources. Open the actual document and verify it yourself.
No files are uploaded. Documents are parsed on the workstation; text excerpts — and, for drawing questions, page images — travel over TLS to VincData’s private servers in Canada to build the index and to answer questions. No third-party AI providers.
Answers are generated from the matching excerpts of the documents you indexed. Answers list their sources, and QcHelper says so when the answer isn’t in the set (10/10 honesty traps passed, 790/790 citations machine-verified — internal testing, June 2026).
An OCR pipeline handles scanned drawings and image-based PDFs during indexing, so older document sets still become searchable.
Full architecture, data-flow table and a straight-answer security checklist: Security & IT overview →
Hours of document review, cut to seconds.
A 90-second walkthrough: real questions, cited answers, a superseded-revision catch, and an honest “not in your documents” — recorded live against a 77-document demo project.
Silent with captions · recorded live in the real app — on a fictional demonstration project.
One account. Unlimited use.
During the private beta, every account is free and unmetered — no per-question fees, no usage caps, no token-based billing. Ask as many questions as the day demands, on every inspection, every hold point, every RFI.
Commercial pricing will be announced after the beta.
See it answer on your documents.
QcHelper is in an invite-only trial with construction and industrial professionals. Pilot participants get the full product, guided onboarding on their own document sets, and a direct line to the builder.
We set QcHelper up on your own project folder — the demo is your real work, not a canned dataset.
Feedback goes straight to the person writing the code. Pilot users shape the roadmap.
Pilot participation requires a signed agreement covering confidentiality and data handling.
A lightweight install on Windows and a sign-in. If it doesn’t earn its place, uninstall it.
About VincData
VincData (Vincdata Technologies Inc.) is an Alberta-based software company building AI tools for construction and industrial workflows. QcHelper was built hands-on around real quality-control practice — document control, inspections and field questions — not adapted from a generic chatbot.