Full-spectrum multi-discipline drawing analysis versus deep structural and civil engineering review with specialized AI agents.
| Feature | Helonic | Stru AI |
|---|---|---|
| Multi-discipline analysis | All disciplines | Civil + structural focus |
| Proprietary AI model | Multi-agent | |
| Structural detailing checks | Basic | Deep (AISC, ACI, TMS) |
| Code compliance | 380+ codes | Structural codes |
| Procore integration | ||
| Autodesk integration | ||
| MEP coordination | Limited | |
| Accessibility checks | ||
| Processing time | Under 30 min | Under 30 min |
| Schedule consistency checks | Basic | |
| Seismic detailing review | Basic | |
| Fire and life safety |
Stru AI goes deep on structural and civil engineering. Its multi-agent architecture deploys specialized autonomous agents, one for structural detailing, another for code compliance, another for geometry, that work simultaneously across every sheet. This means it catches things like improperly detailed moment connections per AISC 360, missing rebar lap splices per ACI 318, and seismic detailing gaps that generalist tools often miss. If your primary concern is structural drawing quality, Stru AI offers unmatched depth in that domain.
Helonic covers the full spectrum of construction disciplines. Where Stru AI specializes, Helonic generalizes, analyzing architectural, structural, MEP, fire protection, accessibility, and envelope systems in a single pass. Its proprietary AI model was built specifically for construction drawings, trained to detect issues across all disciplines simultaneously, which is fundamentally different from Stru AI's multi-agent approach where specialized bots each own a discipline. The result is broader coverage with fewer blind spots across trades.
The practical difference comes down to project type. A structural steel fabrication shop checking connection details and welding schedules will extract more value from Stru AI. A general contractor coordinating 15 trades on a mixed-use building, where an HVAC duct conflicts with a beam, the fire rating doesn't match the code, and the accessible route dimensions are off, needs the breadth that Helonic provides. Integration also matters: Helonic plugs directly into Procore and Autodesk, keeping issues inside the project management tools your team already uses, while Stru AI currently operates as a standalone platform.
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: This comparison reflects the documented capabilities of Helonic and Stru AI as of 2026, contrasting full-spectrum multi-discipline drawing review with Stru AI's deep structural and civil detailing checks (AISC 360, ACI 318, TMS 402). Feature assessments are based on each product's public documentation and Helonic's own review of the workflows described.
Last reviewed by Manas Gandhi · May 2026
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