AI-Native Intelligence Layer for Construction Sites
Search everything the project knows. Act on what comes back. Catch problems before they reach the site.
Built by team from
The problem
5 root causes of construction site errors
None of these are people problems. Good teams hit all five, on well-run projects, every time. They share a single cause.
- 01
Poor situational awareness
Site status lives in diaries, photos and inboxes. Problems surface at the weekly meeting, not when they start.
- 02
Unclear responsibilities
A change lands in a document, but no one is named to act on it. The task exists; the owner doesn't.
- 03
Delayed information
By the time an update reaches the person who can act on it, the wall is up and the fix costs ten times more.
- 04
Information silos
Design, site and procurement each read a different version. The decision gets made on the oldest one.
- 05
Manual reporting
Every hand-off retypes the data. Each copy drifts a little further from what was actually observed on site.
All five trace back to
The one cause
The information that would prevent all five already exists. It's just scattered across systems that never talk to each other, so no one reaches it in time.
Stoa addresses all five
The answer
One unified data layer for the whole site
Documents, models, programmes, tasks and costs. Everything the project runs on, connected into a single layer your team can question, act on, and watch.
One layer, built from the systems you already use
- 01
Search
Ask the project anything and get an answer cited to the exact document and page.
In practice
“Which drawings changed after RFI-214?”
Answered from A-401 rev C, page 12
- 02
Operate
Draft the RFI, assign the task, produce the report. All from the same place the answer came from.
In practice
Reply to RFI-214
Drafted with its sources, assigned to the MEP contractor
- 03
Monitor
Standing checks run on schedule and flag revisions, clashes and open items before they reach the site.
In practice
Rev C lands on A-401
Two open tasks flagged before the pour
What changes
The week you get back
Same project, same documents, same people. The digging is what goes away.
- saved per user every week
- 5+ hourssaved per user every week
- to find and prove a claim
- 3 weeks to 2 daysto find and prove a claim
- time spent on first drafts
- 70% lesstime spent on first drafts
Figures from live design-partner projects (7/2026).
Two business days to implementation
No migration and no cleanup project. Connect a source and the graph builds itself.
Your data stays yours
Stored and processed in the EU, never used to train the models, and deleted within 30 days on request.
Ready to eliminate blind spots on your site?
Join teams already using Stoa to stay ahead of every issue
Ask about pricing and we'll walk you through the product.