Helonic is an AI construction drawing analysis platform for landscape architects who review 2D PDF drawing sets.
Detect utility conflicts with planting, coordinate grading, and review irrigation systems automatically, straight from your site drawing set.
Landscape architects lose time when planting, irrigation, and hardscape conflict with civil utilities and architectural grades.
Tree and shrub root zones conflict with underground utilities, and mature canopy spreads interfere with overhead lines and building facades.
Site grading often misaligns with building pad elevations, adjacent property grades, and stormwater management requirements.
Irrigation mainlines and lateral runs conflict with underground utilities, hardscape footings, and other site infrastructure.
Helonic reads landscape, civil, and architectural site sheets together and flags irrigation, grading, and hardscape conflicts before bid.
Automatically check tree locations against underground utility plans to flag root zone conflicts with water mains, sewer lines, gas pipes, and electrical conduits.
Detect where irrigation mainlines, laterals, and valve boxes conflict with underground utilities, retaining wall footings, and structural foundations.
Verify that site grading transitions smoothly to building pad elevations, loading docks, and adjacent pavement with proper positive drainage away from structures.
Cross-reference hardscape details against site plans to catch inconsistencies in paving materials, edge conditions, ADA ramp slopes, and expansion joint locations.
Review planting plans against plant schedules to identify missing species, mismatched quantities, and plants that are inappropriate for the specified growing zone.
Helonic flags utility clashes, grade mismatches, and irrigation conflicts that become expensive site-work change orders.
Landscape teams issue site packages that agree with civil and architecture, which cuts field relocations after utilities go in.
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 guidance references hardscape, drainage, and utility coordination against the architectural and civil sets. Examples are drawn from Helonic's review of landscape packages coordinated with the site and building set.
Last reviewed by Manas Gandhi · August 13, 2026
Related guides and adjacent solutions.