Helonic is an AI construction drawing analysis platform for plumbing contractors who review 2D PDF drawing sets.
Detect pipe routing conflicts, verify fixture rough-in dimensions, and coordinate riser diagrams automatically, all from your PDF drawing set.
Plumbing contractors redo rough-in when waste, vent, and supply routing on the drawings cannot actually be built.
Waste, vent, and supply lines clash with structural elements, ductwork, and other trades in wall cavities and ceiling spaces.
Rough-in dimensions from architectural plans often conflict with manufacturer specifications and accessibility requirements.
Riser diagrams frequently do not match floor plan layouts, leading to pipe sizing errors and missing connections.
Helonic reviews waste, vent, supply, and gas sheets against architecture and structure and flags slope, clash, and sizing errors before rough-in.
Verify that waste and vent piping routes clear structural beams, ductwork, and other obstructions while maintaining required slopes and code-compliant configurations.
Cross-reference water heater capacity against fixture count, hot water demand calculations, and piping layout to ensure adequate supply for the building.
Automatically calculate fixture unit loads and verify that pipe sizing on riser diagrams and floor plans supports the total demand at each branch and main.
Compare plumbing riser diagrams against floor plans to catch missing connections, mismatched pipe sizes, and inconsistent floor-to-floor routing.
Review gas piping routes for clearance from electrical panels, air intakes, and operable windows while verifying sizing against connected BTU loads.
Helonic flags slope violations, fixture-unit mismatches, and routing clashes that fail inspection or force a reopen.
Plumbing teams rough in once because slope, sizing, and clash issues are resolved on paper first.
Manas is the co-founder and CTO of Helonic, where he leads engineering and AI research for construction drawing analysis. He works directly with structural, MEP, civil, and fire protection engineers to translate the way they review drawings into AI systems that flag the issues that actually matter in the field. Before Helonic, he built machine learning pipelines for technical document understanding and has spent the last several years interviewing licensed design engineers and discipline leads to ground product decisions in real practice rather than industry assumptions.
How this page was researched: Coordination checks reference IPC slope, venting, and riser requirements and the plumbing-structural interfaces verified before rough-in. Examples are drawn from Helonic's review of plumbing sets against structure and other trades.
Last reviewed by Manas Gandhi · August 10, 2026
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