More than 3D/BIM-ready: How DMP is transforming Planning Processes

Just a few days ago, Google presented the Agent Payments Protocol V2. The idea: AI agents collaborate in networks and settle their contributions directly via financial transactions. In such an ecosystem, entire industries could organize their value creation through autonomous actors. The model is expected to replace the classic SaaS principle in the long run – a development Microsoft CEO Satya Nadella predicted half a year ago.

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And where do we stand in the construction industry?
To be honest: not even fully in the SaaS era. We are still in a pre-SaaS world: desktop programs, emails, isolated solutions. The much-promised digitalization of planning processes has not yet delivered.

We see three key reasons for this:

1. Economic interests
   Contract structures create conflicting incentives. As long as the many players in the fragmented value chain are not aligned around the client’s goals, there is little economic motivation for real optimization.
   
2. Standardization
   Transactions between organizations in construction are reflected in standards – such as SIA norms. But only a fraction of them are digitally standardized today. Without a shared digital language, no functioning digital ecosystem can emerge.
   
3. Technology
   The industry talks about integrated planning, but the technical foundation for it is still missing.

Technology as the Bottleneck

At vyzn, this is exactly where we want to start. Methods for integrated planning sound good – interdisciplinary, efficient, client-oriented. But without the right technological basis, they remain theory.

With classic “BIM-ready” or “3D model-ready” software, many manual steps are still required:

• High data maintenance effort: Architects must input extensive information into the design model, a process that doesn’t scale and adds project costs.
• Lack of automation: Models must be manually reworked and redrawn before they can be used for analyses and simulations. As a result, these are done too late and too rarely, leading to overlooked risks and missed optimization opportunities.
• Low interoperability: Switching between tools fragments the workflow and turns digital data back into analog tasks.

The result: instead of gaining efficiency, new silos and friction points emerge. And manual work is always expensive. This is why the idea of fast, iterative planning cycles often fails due to costs.

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From BIM-Ready to DMP-Ready

What is needed is the next step: moving beyond merely BIM-ready software toward Deep Model Processing (DMP).

DMP is built on three core principles:

1. Universal preparation
   Every 3D building model – even simple design models – is automatically prepared so it can be reliably used for analyses and simulations (e.g., sustainability, cost, or comfort). No special information requirements are needed from the design team.
2. Automatic enrichment
   If certain data is missing for an analysis or simulation, the system automatically fills in the gaps. Users always retain the ability to override or adjust these values manually.
   
3. Automatic error correction
   Inaccuracies in the data are identified and corrected automatically. Users can intervene and adjust corrections as needed.

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A Paradigm Shift in Planning

The technical outcome of vyzn’s DMP capability is the vyzn Reference Model. It is generated automatically for every imported building model and forms the basis for the next evolutionary step: interdisciplinary optimization recommendations powered by AI.

Already today, our startup has built a comprehensive dataset through the DMP process. Our analyses show: floor area information often deviates significantly, element types are frequently misclassified, topological information is missing – and entire spaces are sometimes absent from models altogether. All of these issues can be reliably identified and resolved automatically with DMP.

The shift from BIM-ready to DMP-ready enables planning teams to drastically shorten iteration cycles – paving the way for an agile, interdisciplinary planning methodology. This makes planning not only more efficient, but also more robust, transparent, and future-proof.