Bluebeam
Findings that arrive as markups, not as a PDF nobody opens.
Structured AI works with Bluebeam markups, so a review lands as redlines in the tool your reviewers already redline in. Comments can be tracked to closure, and version comparison shows what actually changed between issues.
Key capabilities
Built for the way AEC teams actually use Bluebeam
Once connected, the review runs against your Bluebeam content directly: no export, no duplicate library, and every finding traceable to where it came from.
Book a DemoFindings as redlines
A review that arrives as markups goes into the workflow your team already has, rather than becoming a separate document somebody has to transcribe.
Comment closure
Markups can be tracked through to resolution, so a review is a loop that closes rather than a list that gets emailed once.
Version comparison
See what changed between one issue and the next, and whether the things flagged last round were actually addressed in this one.
Your data never trains the models
Project data is never part of a training set, and every organisation, pilots included, runs inside its own isolated environment.
The best review report is the one your team never has to open.
About Bluebeam
Every QA/QC tool produces a list. The question is what happens to it. A findings report in a separate system is one more thing to reconcile, and reconciliation is where review output quietly goes to die.
Bluebeam is where a lot of AEC reviewers already live. Delivering findings as markups means the output arrives inside an existing habit: the reviewer opens the set, sees the redlines, and works through them the way they work through everyone else’s.
Talk to usGot questions?
Common questions about the Bluebeam integration
That is the point of this one: they should not have to. Findings arrive as markups on the set, in the tool they already use to review it.
See it run against your own Bluebeam.
Bring a live project and we’ll run the review on your stack, not a sample set.
Book a Demo