AI-powered analysis of technical drawings – we transform plan data into structured, searchable knowledge.
Supported by partners from research, innovation, and industry.







blixdata transforms technical drawings into a structured, searchable knowledge base – for planning, analysis, and operations.
Symbols, texts, and structures are detected directly within construction plans and placed into context.
The result: clear, traceable insights instead of complex drawings.
Blixdata structures information extracted from technical drawings and makes it searchable, traceable, and usable across projects.
Find the information you need within seconds – without manually searching through drawings, PDFs, or archives.
Every result remains linked to its original source in the plan, ensuring reliability, auditability, and trust.
Implicit plan knowledge is transformed into a structured knowledge base – scalable across projects, assets, and lifecycles.
blixdata analyzes construction plans at the pixel level, interpreting and linking their contents into a structured knowledge base.
Our specialized AI models detect texts, symbols, and geometric structures directly within technical drawings. Rather than extracting data in isolation, information is interpreted within its engineering context.
All extracted information is stored in a structured knowledge graph. A domain-specific ontology represents technical relationships, components, and functions, making them machine-readable.
The structured knowledge is fully searchable. Queries are answered precisely, with every result traceable back to its original source in the plan.
Planning and engineering offices manage large plan archives containing valuable project knowledge.
blixdata makes this knowledge searchable and immediately accessible.
Our AI extracts relevant information from technical drawings and transforms it into a structured knowledge base — across projects and seamlessly integrated into existing systems.
Let’s talk about how blixdata makes plan knowledge accessible.
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