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
AI software for
MEP engineering
QVINTOS develops and licenses AI software that designs building-services systems in the IFC model and reviews models, with design results and review findings traceable to their rule and confirmed by a qualified engineer.
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. Three product lines.
QVINTOS works from the IFC model: it designs MEP systems, reviews the model and answers questions with sources. Every value carries its QVINTOS OS rule id. Deliveries go out as PDF and DXF sheets, IFC and BCF.
Design - MEP design engine
Deterministic engines design building-services systems in the IFC model on the QVINTOS OS rule bank (Swedish rules and industry practice) and author the drawing sheets. Sprinkler is in use today; ventilation, plumbing, heating, electrical and fire alarm can be tried in a pilot. Results are proposals, confirmed by qualified engineers.
Coordinate - model review
Reviews the model for clashes, room heights, penetrations, shaft space and rule deviations, each finding with its rule id. In use today. Coordination across several discipline models, with issues as BCF, is in pilot.
Assist - project knowledge
Answers questions about the model and the project documents, with the sources shown. In use today.
Platform
Own rule bank with ids and confidence levels, a deterministic calculation engine, an AI layer that must cite the engine, hosting in Azure Sweden Central, IFC in, and PDF, DXF, IFC and BCF out.
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).
QVINTOS targets MEP design, model review and coordination for engineering consultancies and contractors, starting in Sweden.
~$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.
AI can explain engineering
Language models can now explain engineering results in plain language. QVINTOS keeps the engineering calculations in a deterministic engine and lets the AI explain, sort and cite them.
Engineering capacity is scarce
Consultancies have more building-services work than engineers. Software that prepares a traceable design basis lets each engineer review more, without lowering the bar.
The team
Built by people who know construction and technology
RA
Romman Alham
Founder & CEO
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.
AZ
Built on Microsoft Azure
Infrastructure
QVINTOS runs in Microsoft Azure, region Sweden Central, with AI on Azure OpenAI in Sweden Central or Microsoft's EU Data Zone.
Raising · Seed
We are raising to scale what works
Sprinkler design, model review and Assist are in use today; the other disciplines are in pilot. 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.