Lowest
Construction is one of the least digitalised major sectors in the world economy - under 25% of construction firms matched the broader economy’s productivity growth over the past decade (McKinsey).
Seed round · Construction AI
Construction documents,
reinvented with AI
QVINTOS turns technical drawings and construction documents into structured, measurable, actionable intelligence - and cuts project preparation dramatically.
The problem
Construction is the world's least digitalised major industry
Every building project generates hundreds of technical documents. The industry accounts for ~13% of global GDP and ~10 trillion USD per year in construction - yet lags in digitalisation and productivity (McKinsey).
$1.6T
McKinsey estimates that if construction productivity caught up with the economy at large, the industry’s value would rise by ~1.6 trillion USD per year.
Weeks
Teams spend weeks manually reading, measuring and transferring data from drawings - time spent on document handling instead of analysis and decisions.
The solution
One platform. From drawing to decision.
QVINTOS reads drawings, detects elements, counts quantities, sizes entire MEP systems and produces structured deliverables - in minutes, not weeks. Every measurement traceable. Every delivery exportable (IFC · DWG · RVT · PDF).
MEP design engine
Deterministic engines size seven building-services disciplines - sprinkler, ventilation, plumbing, heating, electrical, fire alarm, fire safety - to Swedish standards and author the documents. Proposals, reviewed and certified by licensed engineers.
Drawing analysis
AI reads plans, sections and elevations. Detects rooms, walls, windows and load-bearing elements from PDF or IFC - calibrated to the drawing’s scale.
Quantity takeoff
Counts gross and net areas, wall lengths, window and door counts and material quantities per element. Every figure traced to the source drawing.
Understand & govern
Reviews risk, drafts procurement, answers questions with a source and generates decision material - across the project’s entire documentation.
Accuracy
AI precision, measured against the manual standard
We tested QVINTOS side by side with Bluebeam - the industry standard for manual measurement - on a real, approved drawing. In that benchmark the deviation was at millimetre level across the entire measured facade.
~7 mm
total deviation in the benchmark
Millimetre level across a ~32 m measured facade - no tape measure, no manual tracing
QVINTOS measures directly from the drawing. The result above is ONE benchmark with Bluebeam as reference - not a guarantee. Uncertainty is always reported honestly, and where the basis is missing the output says "To be completed by the inspector".
Benchmark vs Bluebeam · one approved drawingSeconds
versus hours manually
What Bluebeam demands a skilled operator and time for, QVINTOS extracts directly from the drawing.
Zero
manual input
No calibration, no tracing. Upload the drawing - QVINTOS reads and measures.
100%
traceable
Every figure derived from its source - drawing, page, element. Nothing made up.
The market
A trillion-dollar industry ready for its AI moment
The world's construction sector spends on the order of ~10 trillion USD per year and accounts for ~13% of global GDP (McKinsey). Less than one percent of that value is captured by software today.
QVINTOS targets MEP design, takeoff and document intelligence - a segment with no dominant AI-native player. Driven by mandatory BIM requirements in Europe and AI-native tools replacing legacy systems.
~$10Tglobal construction volume per year (McKinsey)
~13%of global GDP
$1.6Tannual productivity potential (McKinsey)
Source: McKinsey Global Institute, "Reinventing Construction" (2017). "T" = trillion USD.
Why now
Three forces converging at exactly the right moment
BIM is becoming mandatory
Public procurement in the EU and the Nordics increasingly requires BIM on larger projects - creating acute demand for AI tools that process construction documents at scale.
Multimodal AI is ready
For the first time, large vision-language models can interpret architectural drawings reliably - not just text. That capability did not exist commercially two years ago.
Legacy tools fall short
Existing takeoff and estimating tools were built for the CAD era. They require manual input, lack an AI layer and have not been renewed in a decade.
The team
Built by people who know construction and technology
RA
Romman Alham
Founder · CEO
AI specialist at Accigo - has built AI that turns messy technical documents into structured, usable data for enterprise clients. Same problem, different industries - construction was the version nobody had solved. QVINTOS is the answer.
MS
Microsoft for Startups
Partner · Accelerator
QVINTOS is part of Microsoft for Startups Founders Hub - with Azure infrastructure, OpenAI models and technical mentorship behind a secure, enterprise-grade document intelligence on Azure AI.
BW
Business Wellness Group
Advisory · TBD
Prospective advisory partner for go-to-market, operating structure and growth from pilot to production. To be announced.
Raising · Seed
We are raising to scale what works
The core technology is proven - millimetre level against Bluebeam on a real approved drawing. We are raising a seed round to accelerate product, build the team and sign the first enterprise agreements.
All enquiries are handled directly by the founding team.