From Estimation to Closeout:
AI Purpose-Built to Maximize Margin
In construction, you can have a full year of work and lose all of your margin to one bad job. Scope gaps at bid, change events that
go unrecognized, entitlements that expire before they're claimed — and 59% of contractors say they cannot spot an overrun while
it's still fixable. AltaML deploys agentic AI that works across the full construction lifecycle to maximize and preserve margin.
MARGIN DOESN'T DISAPPEAR ALL AT ONCE.
IT BLEEDS OUT ACROSS EVERY PHASE OF THE JOB.
The same margin-eroding patterns show up on job after job, and most of them are visible in the data before they hit the financials.
Here's where the margin goes:
Permit applications sit in review queues for weeks. AI checks a submission against code requirements before it goes out, flags what's missing, and leaves a full audit trail behind every decision.
RFIs and change orders pile up faster than anyone can track. AI reads submittals, redlines, and specifications, flags what's changed, and surfaces what needs a decision — so nothing sits unanswered in a shared drive.
Field crews write up inspection notes and locate requests days after the site visit, once details have already faded. AI turns field notes and photos into completed reports and filings before the crew leaves site.
AI ACROSS EVERY PHASE OF THE JOB
Track equipment condition and usage across a fleet, flagging maintenance needs before a breakdown stalls a crew.
Plan crew and material delivery routes across a multi-site portfolio, cutting drive time and idle hours between sites.
- 01 Meet AltaForge
- 02 Connect Your Stack
- 03 Compound Your Data
- 04 Balance Depth and Speed
Construction's AI Platform
We build on what you already run.
We don't replace Procore, Trimble, Autodesk, or Sage. We connect to them, so the systems you already pay for and already trained your team on get smarter instead of getting swapped out.
Every accelerator you deploy
makes the next one smarter.
Speed of software, depth of a custom build.

We replaced estimated truck scheduling with real-time stage tracking, so pours could run tighter and idle time between arrivals would stop being the default.
Read The Case Study
Surfacing the right equipment history at the right moment, so a $90,000-per-hour shutdown doesn't stall because someone can't find a maintenance record.
Read The Case Study
A computer vision system that detects cracks and deterioration from 3D LIDAR scans cut $1.2 million in annual costs and reduced falling debris incidents to zero.
Read The Case Study"AltaML has been a great partner throughout our engagement. The team quickly understood what we are trying to achieve, and continue to translate that understanding into practical algorithms and solutions that drive meaningful value for our business. They consistently work with the urgency and performance our business requires and conduct themselves with integrity, good faith, and a genuine commitment to building a long-term partnership."

