We keep improving our tools to make project data easier to use in your workflows โ including agents and AI-powered solutions. This isnโt just about converter - itโs about making construction automation accessible and vendor-free, without relying on closed CAD-BIM ecosystems for data processing and use. The latest release brings a set of updates across all formats:
๐ฅ๐ฒ๐๐ถ๐ (2015-2026)
โ Compatibility with Revit 2026
โ Support for .rfa
โ
Additional optimization (performance boost by 30โ35%)
โ
Export of ToRoom / FromRoom / Room
๐๐๐ (2x3, 4x1, 4x4, 4x, 4.3)
โ
Improved export to Collada
โ
Fixed encoding issues for non-English text data
โ New columns: Building and Building Storey
โ Option to export only the needed data (.xlsx or .dae)
๐๐ช๐ / ๐๐๐ก (1983-2026, V7-V8)
โ
Fixed the latest bugs reported by users
โ Added progress bar in console
๐๐น๐ผ๐ฏ๐ฎ๐น
โ
Up to 30% faster performance
โ
Updated to the latest library versions
โ
Cleaner UI (no more duplicate output)
โ
Minor fixes and improvements
In the coming years, the key challenge for construction companies won't be creating projects per se, but systematically preparing and capitalizing on their own or acquired data assets. ๐ง๐ต๐ผ๐๐ฒ ๐๐ต๐ผ ๐๐๐ฎ๐ฟ๐ ๐๐ต๐ถ๐ ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐ ๐ป๐ผ๐ ๐๐ถ๐น๐น ๐ด๐ฎ๐ถ๐ป ๐๐ต๐ฒ๐ถ๐ฟ ๐ผ๐๐ป "๐ฎ๐๐๐ผ๐ฝ๐ถ๐น๐ผ๐" ๐ฎ๐ด๐ฒ๐ป๐๐. ๐ง๐ต๐ฒ ๐ฟ๐ฒ๐๐ ๐๐ถ๐น๐น ๐ต๐ฎ๐๐ฒ ๐๐ผ ๐๐ฒ๐๐๐น๐ฒ ๐ณ๐ผ๐ฟ ๐๐ผ๐บ๐ฒ๐ผ๐ป๐ฒ ๐ฒ๐น๐๐ฒ'๐.
๐ As before, you can download the new converters with ready-to-use AI workflows from our website or GitHub account:ย https://github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto
๐ If you need help testing RAG and LLM solutions with your CAD data or adapting the workflow to real project tasks, contact us.
โป๏ธ Share this with colleagues who still believe that manual checking and classification is โnormal work.โ In reality, these tasks can already be automated with LLMs and n8n workflows.
