Commissioned Engineering for Startup (QTO-AI): From 3D Model to Quantity Takeoff
A showcase of our versatility as full-stack builders: Commissioned by a specialized ConTech startup (QTO-AI), we engineered the complete backend processing pipeline — from an automated 3D geometry parser and graph database to standardized tender exports.
Custom Engineering Highlights (Built on Client Commission)
When startups or SMEs face complex domain file formats, we act as their full-stack implementation partner — building decoupled Python FastAPI workers, graph databases, and web frontends.
Custom 3D Geometry & Quantity Parser
Commissioned by the client startup, we built a dedicated parser worker that extracts wall areas, slabs, openings, and insulation dimensions from complex 3D CAD export files.
AI-Assisted Line-Item Mapping (QTO-AI)
A multi-stage rule and AI pipeline maps extracted building elements to structured tender line items across 20 standard trades.
Standardized Data Export (GAEB X83 & PDF)
Generates standardized exchange files for estimation software alongside audit-ready PDF bills of quantities.
Graph Database for Spatial Dependencies
Cypher-based Memgraph queries validate spatial relationships between building components so ancillary tasks are not overlooked.
Asynchronous Worker Queue for Large Models
Parallel background workers process even massive 3D building models without browser timeouts, streaming live progress updates.
Multi-Tenant Isolation & Verifiable Audit Trail
Every calculation step from raw 3D geometry to the final line item remains fully traceable for estimators and engineers.