We Turn Applied AI into Software That Works.
AltaPro AI is an Edmonton software development company. We build our own models and systems on real client work, test them hard, and ship them inside production software we design, deploy, and operate — for our clients and our own products. No demos, no papers, no benchmarks for their own sake. Below: the sourced Alberta data that shapes why contractors are turning to custom operations software.
Why Alberta Contractors Are
Turning to Custom Software.
We pulled together the public numbers that define the decade ahead for Alberta's trades and construction businesses. Every figure is sourced and linked to its origin — no invented benchmarks. The through-line is simple: demand is rising, the workforce that delivers it is shrinking, and the paperwork is now on a legal clock. That is an operations problem, and operations problems are what software is for.
48,800
Workers Alberta's construction labour force must add by 2035
Source: BuildForce Canada, Construction & Maintenance Looking Forward, 2026–2035 Alberta highlights
43,700
Alberta construction workers (21% of the 2025 force) expected to retire by 2035
Source: BuildForce Canada, 2026–2035 Alberta highlights
~$29B
Construction's contribution to Alberta's GDP in 2024 — about 8.3% of the provincial economy
Source: Government of Canada Job Bank sectoral profile, from Statistics Canada data
31%
Forecast growth in industrial, commercial & institutional building employment, 2026–2035
Source: BuildForce Canada, 2026–2035 Alberta highlights
28 Days
The legal clock an owner has to pay a proper invoice under Alberta's prompt-payment rules
Source: Prompt Payment and Construction Lien Act, in force August 29, 2022 (Alberta.ca)
$1.46
WCB-Alberta's 2026 average premium rate per $100 of assessable earnings (COR can cut it up to 20%)
Source: WCB-Alberta 2026 premium rate guide
What the numbers mean for an operator
You will not hire your way out of the next decade — the workforce math is against it. The contractors who win it are the ones whose existing crews stop losing hours to paperwork, because every admin hour automated is a scarce field hour returned. To put a dollar figure on your own admin load, use the free ROI calculator (illustrative, based on your inputs), and see the full workflow breakdown in the trades playbook and custom software for trades.
Our Research Posture, in Four Moves.
We're not a lab writing papers. We build software with our clients, deploy it, operate it, and watch — and let the field tell us what's true.
Build Against Real Work
We don't chase benchmarks. We build and test our systems against the actual jobs, data and edge-cases of the operations we serve. The bar is whether it holds up on real work — nothing else.
Systems, Productized
We engineer our own models and retrieval systems, then wrap them in finished software an operations team can run on day one. A prototype isn't the deliverable — a system that runs is.
Custom Is Our Lab
We build tailored systems for real clients. Those live deployments are where we learn what works — and the patterns that keep winning become products.
Deployed, Then Watched
Shipping is the start, not the finish. We monitor every system in the field, measure it against real outcomes, and keep improving it while it runs.
We Only Claim What We've Shipped.
Applied-AI marketing is full of numbers nobody can trace. We keep it plain: what we've built, what it does in the field, and where its limits are. If we can't stand behind a claim, it doesn't go on the page.
No Fake Papers
We don't publish research theatre. What we know, we learned by shipping systems and watching them run — not by writing up experiments we never did.
No Invented Benchmarks
We won't quote a leaderboard number to sell you. The only test that counts is your work, your data, your edge-cases — and that's the one we run.
No Borrowed Logos
No client names or logos we don't have permission to use. When we have named results to show, they land here — and not a day before.
Build with Confidence.
We hold ourselves to clear standards for how AI gets deployed in your business — human-in-the-loop, private, and honest about what it can and can't do. Read our AI ethics →
See the Research, Running.
The proof isn't in a paper. It's in the software teams run on day one.