Our proprietary AI model, trained specifically on construction drawings, delivers comprehensive issue coverage. Purpose-built for the construction industry, it understands drawing conventions, building codes, and cross-discipline coordination in ways generic models cannot.
Generic models miss what construction-specific models catch.
How our construction-trained model produces high-confidence findings.
Drop your PDF drawing set into Helonic. Every sheet is prepared for analysis by our proprietary construction-trained AI.
Our model, trained on thousands of construction drawings, analyzes every sheet, understanding drawing conventions, symbols, and cross-discipline relationships.
A quality gate filters out false positives. Each issue is assigned a confidence score based on the model's domain knowledge and evidence strength.
You receive a detailed report with issues categorized by discipline, severity ratings, and confidence scores, giving you the most comprehensive analysis possible.
What sets a construction-specific model apart from generic AI.
Understands relationships between elements across disciplines, identifying coordination conflicts that generic AI would miss.
Trained on building codes and specification requirements, detecting violations and logical inconsistencies between drawing elements and notes.
Detects graphical anomalies, symbol inconsistencies, and layout issues specific to construction drawings.
Understands industry conventions like scale relationships, notation standards, and cross-discipline dependencies.
Every issue includes a confidence percentage based on evidence quality and issue clarity, helping you prioritize review time.
Generic AI models struggle with construction drawings because they lack domain-specific training. They do not understand drawing conventions, scale relationships, or how mechanical, electrical, and plumbing systems interact with structural elements. Our proprietary model was built from the ground up for this purpose.
Trained on thousands of real construction drawings, our model understands the nuances that matter: symbol conventions, notation standards, code requirements, and cross-discipline dependencies. Combined with an intelligent quality gate that filters false positives, this purpose-built approach delivers dramatically higher accuracy than generic AI tools applied to construction documents.
Other ways our AI delivers value on real construction projects.