Helonic is an AI construction drawing analysis platform for electrical contractors who review 2D PDF drawing sets.
Verify panel schedules, coordinate conduit routing, and catch load calculation errors before installation begins.
Electrical contractors lose margin when panel schedules, feeder sizes, and emergency-power sheets disagree before rough-in.
Panel schedules frequently disagree with one-line diagrams and equipment power requirements, creating costly field changes.
Conduit runs clash with ductwork, piping, and structural elements in crowded ceiling spaces and vertical chases.
Circuit loading exceeds panel capacity or wire sizing is insufficient for the connected loads shown on equipment schedules.
Helonic reads panel schedules, one-lines, and floor plans together and flags load, routing, and emergency-power conflicts before install.
Cross-reference panel schedules against one-line diagrams and riser diagrams to flag mismatched breaker sizes, missing circuits, and inconsistent load designations.
Detect where conduit runs conflict with ductwork, piping mains, and structural elements. Identify congested pathways that will create installation problems.
Verify that light fixture locations align with the reflected ceiling plan and do not conflict with diffusers, sprinkler heads, or structural members.
Ensure that mechanical equipment schedules, kitchen equipment lists, and other power loads match the circuits and voltage shown on electrical drawings.
Check that emergency and standby power systems serve all required loads per code, with proper transfer switch sizing and generator capacity.
Helonic flags schedule-to-plan mismatches, conduit clashes, working-clearance misses, and emergency-power gaps before they hit the field.
Electrical teams bid and install with fewer panel and routing surprises because the set is reconciled before material is released.
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 NEC (NFPA 70) clearance and working-space requirements, panel and conduit routing, and the electrical-structural interfaces verified before rough-in. Examples are drawn from Helonic's review of electrical sets against the base building set.
Last reviewed by Manas Gandhi · August 12, 2026
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