Data Intelligence Platform

The intelligence layer
between your models
and your systems.

BIM models carry critical operational data. Most of it never arrives intact. DAQS ensures it does.

40%
of construction data is bad — inaccurate, incomplete, or inconsistent
41%
of project decisions are negatively affected by bad data
€1.58T
cost of bad data to the global construction industry in 2020
The problem

Data breaks before it
leaves design

The damage starts in Revit. Not because models are inherently wrong — but because the process that governs them is broken.

Checks are skipped. Rules exist on paper but are never enforced. Models are accepted under time pressure — not because the data is right, but because the deadline hit.

When that model is exported to IFC, every downstream system inherits that damage as fact. Procurement works from it. Manufacturers act on it. Operational platforms ingest it.

No warning. No flag. No fallback.

No structural data governance
Rules for classification, naming, and parameters exist — but are never systematically enforced across the model lifecycle.
Incomplete or inconsistent checking
Manual reviews miss what automated rules catch. Critical data errors survive every stage gate.
Acceptance under time pressure
Models are approved because the schedule demands it — not because the data has been verified. The error is officially signed off.
IFC export as the point of no return
Once a broken model becomes an IFC, every downstream system treats its errors as ground truth. There is no recovery point.
Where it becomes visible

Problems don't appear in design.
They appear in execution.

By the time data failure becomes visible, the damage is already done — and its source is invisible to the people trying to fix it.

Stage 01
Before IFC delivery
Models are exported and shared without data verification. What appears complete in Revit becomes unreliable the moment another party depends on it.
Stage 02
Before procurement
Quantities, specifications, and classifications don't match reality. Suppliers build orders on interpretations instead of verified data.
Stage 03
Before manufacturing
Manufacturer data arrives incomplete, inconsistent, or in the wrong format. Production planning is built on assumptions.
Stage 04
Before your systems
Operational platforms, digital twins, and construction environments ingest model data — and inherit every error it carries as operational truth.
The platform

Validate. Transform. Connect.

DAQS sits between your BIM models and the systems that depend on them. It does not replace your tools. It makes their output trustworthy.

Every model that passes through DAQS has been validated against rules, structured for downstream use, and connected to the systems that need it — without manual translation, without reinterpretation, without guesswork.

Not as a report. Not as a checklist. As a governed intelligence layer that becomes a structural part of your data pipeline.

Layer 01
Validate
Enforce rules before data moves
Models are checked against governance rules, industry standards, and the specific requirements of downstream systems. Issues surface before they become operational problems.
Layer 02
Transform
Structure data for where it goes
Validated data is structured into the exact format each system needs. No manual mapping. No interpretation. The right data in the right shape — for procurement, manufacturing, or platform ingestion.
Layer 03
Connect
Deliver directly to operational systems
Output flows directly into your environment — ERP, supply chain, construction OS, AI engines. What enters those systems has already been verified and structured for operational use.
The difference

This is not
model checking.

Model checking tools
  • Find issues and generate reports
  • Leave resolution to people
  • Operate at the end of the workflow
  • Produce data for humans to read
  • Disconnected from downstream systems
DAQS
  • Enforces rules structurally before data moves
  • Prepares data for automated downstream use
  • Embedded in the data pipeline, not added after
  • Produces structured output for systems to act on
  • Connects directly to operational environments
Proven in practice

Already in use.
Measurable results.

Case — Elements

From IFC to production-ready door orders

Dura Vermeer needed to eliminate manual data preparation between their pre-purchase coordinators and door manufacturer Svedex. Every order required checking IFC files, correcting data, and converting it into a format the manufacturer could act on.

With DAQS Elements, the IFC model is validated against Svedex's data requirements and an order file is generated automatically — in the exact format that fits directly into Svedex's production system.

Read the full case
€53
saving per housing unit
Dura Vermeer data — doors
0
manual format conversions per order
Elements — process outcome
Live
internally launched by Dura Vermeer
Official internal launch
Organisations using DAQS
Dura Vermeer
Contractor
+
Svedex
Manufacturer
Who it's for

Built for the people
responsible for what happens next.

Contractors
You receive models you didn't build and are responsible for what happens when they hit procurement and execution. DAQS gives you a structural verification layer before that moment arrives.
"We're done fixing models during construction."
Manufacturers & suppliers
You need data that fits directly into your process — not geometry to interpret, not PDFs to read, not phone calls to clarify. DAQS delivers verified, structured order data from the model.
"We need data we can produce from, not describe."
Platform teams
Your operational platform is only as good as the data it ingests. DAQS acts as the pre-ingestion intelligence layer — so your system operates on verified, structured BIM data, not raw model output.
"Our system is reliable. Our input data isn't."
CTOs & technical decision makers
You're building infrastructure that depends on model data. DAQS becomes the governed intelligence layer between Revit, IFC and your systems — so data quality is structural, not manual.
"We need BIM data to be trustworthy infrastructure."

If the data can't be trusted,
everything built on it is
a liability.

DAQS makes model data into something you can build systems on.

Request a demo
See how it works
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