Cover 2D drawing creation, 3D model generation, drawing-to-model conversion, engineering annotation, component classification, geometry validation, mechanical assembly modelling and data quality checking. Positioned as an emerging capability with NDA-based engagements.
Engineered to international standards with rigorous precision and verified turnaround times.
Deep learning (YOLO) computer vision trained on engineering drawings for automated valve, pump, instrument, and electrical symbol recognition on legacy scans.
Zero-latency in-memory execution (<0.001 ms) inside CAD process RAM (acad.exe, bricscad.exe) exposing drawings to Claude, Cursor, and Gemini via Model Context Protocol (MCP).
Converting complex scanned process flow diagrams and piping schematics directly into structured digital Bills of Materials (BOM) and line lists.
Creating structured, multi-variant 2D engineering drawings and 3D CAD parametric solid models for ML training pipelines and geometric deep learning.
High-throughput conversion of 2D legacy manufacturing prints into fully parametric 3D CAD models (STEP, native DWG/IPT/SLDPRT) with geometric integrity.
All datasets, training samples, and CAD source files are processed under strict NDAs in air-gapped or dedicated secure network environments.
Connect with our technical leads in Puducherry to evaluate your engineering project, review DWG/model samples, and obtain a formal proposal.
