Qvintos transforms architectural drawings and technical documents into structured, measurable, and actionable intelligence - cutting project preparation time by up to 70%.
Every building project generates hundreds of technical documents. Teams spend weeks manually reading, measuring, and transcribing data from drawings. The industry loses an estimated €1.6 trillion annually to inefficiency.
Average time to complete a manual quantity takeoff for a mid-size residential project
Of projects experience significant cost overruns directly tied to inaccurate early-stage documentation
Of estimator time is spent on document handling and data entry - not analysis or decision-making
Qvintos uses AI to read architectural drawings, detect building elements, calculate quantities, and generate structured takeoff specifications - in minutes, not weeks. Every measurement is traceable. Every output is exportable.
AI reads floor plans, sections, and facades. Automatically detects rooms, walls, windows, doors, and structural elements from uploaded PDFs or IFC files - calibrated to drawing scale.
Calculates gross and net areas, wall lengths, window and door counts, and material quantities per element. Every figure traces back to the source drawing with full provenance.
Generates structured cost estimates from extracted quantities. Connects material schedules to regional pricing databases for real-time validation against market rates.
Organises all project files intelligently. Version control, revision tracking, and cross-document linking - from handlingsförteckning to approved system drawings.
We tested Qvintos head-to-head against Bluebeam - the industry standard for manual construction measurement - on a real approved drawing set. The results speak for themselves.
An error margin of 0.02%. Faster than manual measurement, with no tool, no tape, no rounding. Calibrated to scale bar: 787 px = 5 m at 1:50, verified at zero uncertainty.
Across 32+ metres of measured facade elements, the total AI deviation is just 7 millimetres.
What Bluebeam requires skilled operators and significant time to measure, Qvintos extracts instantly from the drawing.
No calibration, no trace-editing, no manual tracing. Upload the drawing - Qvintos reads and measures automatically.
Global construction output exceeds €12 trillion annually. Less than 1% of that value is captured by software vendors today. The AEC software market is projected to reach $12.9B by 2028, growing at 8.5% CAGR - driven by mandatory BIM adoption across Europe and AI-native tooling replacing legacy systems.
Qvintos targets the takeoff, estimation, and document intelligence segment - a $2.4B addressable market with no dominant AI-native player.
Construction generates more documents than almost any other industry and uses less of them. Qvintos is the AI layer that finally reads them - built by an engineer with deep document-intelligence experience, running on Microsoft's startup infrastructure, and tested against real approved drawings.
Spent years building AI tools that turn messy technical documents into structured, usable data - for enterprise clients who couldn't afford to get it wrong. The pattern kept repeating: same problem, different industry. Construction was the version no one had cracked. Qvintos is the answer to that.
Qvintos is part of the Microsoft for Startups Founders Hub, giving us access to Azure infrastructure, OpenAI models, and technical mentorship. The partnership supports our work on secure, enterprise-grade document intelligence built on top of Azure AI.
Prospective advisory partner supporting Qvintos with go-to-market strategy, operational structure, and sustainable growth as we scale from pilot to production. Details to be announced.
EU and Nordic public procurement now requires BIM on all major projects - creating urgent demand for AI-native tools that process construction documentation at scale.
For the first time, large vision-language models can reliably interpret architectural drawings - not just text. This capability did not exist at commercial scale two years ago.
Incumbent takeoff and estimation tools were designed for the CAD era. They require manual input, offer no AI layer, and have not meaningfully innovated in a decade.
We have demonstrated that the core technology works - 99.98% accuracy on real approved drawings, validated against Bluebeam. We are raising a seed round to accelerate product development, expand the team, and sign our first enterprise contracts.
All enquiries are handled directly by the founding team