
Human review and sign-off for AI-generated AEC drawings.
A startup from Davenport, the United States, founded by Victor Acosta.
This page is designed to help you find out whether Markup Validate is good and if it is the right choice for you.
Markup & Validate is a browser-based review station for AI-generated construction drawing sets.
AI can now produce a full drawing set in minutes, but nothing checks the output. Markup tools were built for human-made drawings. Model checkers review the model, not the drawing set that actually gets issued. Markup & Validate closes that gap.
Upload a PDF drawing set and redline it in the browser with familiar markup tools: revision clouds, arrows, rectangles, callouts, highlights, and pen. Then run the built-in 15-rule AEC standards profile covering title block completeness, sheet numbering, required sheets, text heights, annotation and tags, dimensions, schedules, revision control, and drawing coordination.
Every finding requires a named reviewer and written evidence before it can close. The sign-off gate stays blocked while any markup, finding, or verification task is open. When the gate clears, sign off and export the annotated PDF, the review JSON, and the CSV record for a complete audit trail.
Markup & Validate is deliberately honest about automation limits. Checks that software cannot perform become structured human-verification tasks instead of silent gaps. The product does not certify drawings. It makes human judgment traceable.
Built for BIM managers, QA reviewers, and project teams issuing drawing sets produced with AI assistance. Free to start with 2 drawing files per month, no credit card required. Paid plans from $5 per month.
Listed in
Markup
PDF markup (clouds, arrows, callouts)
AEC validation
15-rule AEC validation profile
Evidence-Based
named reviewer + evidence per finding
It's the only markup tool with a gated sign-off. Every finding needs a named reviewer and written evidence before it closes, and the sign-off stays blocked while anything is open. "Looks fine" gets rejected by design. Competitors give you redlines. This gives you a traceable review record.
Bluebeam does markup but has no opinion on your standards and lets you sign off with open issues. Autodesk's tools review the model, not the drawing set that actually gets issued. Markup & Validate assumes AI-made input: a 15-rule AEC standards profile, structured human verification where software can't check, and a sign-off gate. It's the review layer the others don't have.
BIM managers, QA reviewers, and project teams who issue drawing sets, especially firms starting to produce drawings with AI assistance. Anyone whose signature goes on a set someone (or something) else drew.
I wrote an article arguing AI tooling for Revit is a bridge and the other side doesn't need Revit. A commenter reframed it: AI does 80 to 90 percent, humans do the correction, and the correction doesn't have to happen in Revit. We already redline in Bluebeam. That comment became the product. I built Markup & Validate in two days around that workflow.
PHP backend with MySQL, PDF.js for in-browser drawing rendering, vanilla JavaScript frontend, and Stripe for subscriptions and billing.
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Check the traffic stats of Markup Validate on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Markup Validate on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Markup Validate's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Markup Validate on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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