The Receipts
Every construction tech vendor claims AI. Few show what that means.
We're showing our work because that should be the standard.
The Problem with "AI"
"40% efficiency gains! 10x faster workflows! Revolutionary AI!"
— Every pitch deck, ever
"But... can I see the math?"
— You, hopefully
You evaluate trade partners based on track record. You check references. You look at past projects. You don't hand a $50M mechanical package to a sub who shows up with a nice pitch deck and promises.
Software should work the same way.
Our Numbers
91K+
AI executions
12
distinct workflows
89%
overall accuracy
What's Effectively Solved
What We're Still Improving
The variance tells you where AI is ready to trust — and where human review is still required.
What These Tasks Mean
Document Classification
Is this a spec, drawing, schedule, or addendum? Misclassify a document and everything downstream inherits the error.
Equipment Extraction
What MEP equipment is specified? Miss a chiller buried in an addendum and you're on the hook for a change order.
Component Specs
Capacities, efficiencies, voltages, RPMs. These determine whether equipment actually meets design intent.
Table Alternates
What substitutions are acceptable? Knowing your options early changes how you price and who you call.
Each task sounds straightforward. In practice, construction documents are messy. Specs contradict drawings. Addenda override base documents. Equipment schedules use different naming conventions from page to page.
That's why we measure on real project data.
Why We're Publishing This
Receipts > promises
When we tell you our equipment extraction runs at 95% accuracy, we can show you the executions.
When we tell you we've processed tens of thousands of specifications, we can show you the data.
That's the difference between a claim and a commitment.
We'll update these quarterly.
As models improve and we expand into new workflows, we'll publish performance on those too. Construction runs on trust. Trust is built through transparency.
See for yourself
Try It On Your Documents
Upload your specs. See the extractions. Judge the accuracy yourself.
Get StartedData reflects production workloads from the past quarter. Accuracy measured via semantic evaluation against human-verified ground truth. We'd rather show you the honest picture than pretend everything is solved.