Proprietary AI drawing analysis across the full project lifecycle versus AI-powered preconstruction design review with phase-over-phase comparison.
| Feature | Helonic | Firmus AI |
|---|---|---|
| Automated issue detection | ||
| Proprietary AI model | ||
| Phase comparison | AI-MATCH | |
| Code compliance | Limited | |
| Procore integration | ||
| Autodesk integration | ||
| AI-generated markups | ||
| Analysis limits | Unlimited | 5–100/year |
| User limits | Per seat | Unlimited |
| Scope | Pre-con + construction | Preconstruction only |
Firmus AI and Helonic both use computer vision and AI to scan construction drawing sets for issues, but they differ in scope, pricing model, and integration strategy.
Firmus AI is purpose-built for preconstruction design review. Their AI-MATCH feature compares drawing sets across project phases, Design Development, Construction Documents, Issued for Permit, Issued for Construction, to track how issues evolve and flag new discrepancies introduced between phases. Their issue mitigation workspace includes AI-generated markups that visually annotate detected problems directly on the drawings.
Helonic uses a proprietary AI model that spans preconstruction through active construction. Built specifically for construction drawings, Helonic's AI reduces false positives and increases detection confidence through deep domain expertise. The platform covers a broader range of issue types including code compliance, structural analysis, accessibility, and MEP coordination, extending analysis beyond the preconstruction phase.
A key practical difference is the pricing model. Firmus AI uses analysis-count-based tiers ranging from 5 to 100 analyses per year, which requires teams to budget their reviews carefully. Helonic offers unlimited analyses, letting teams re-run reviews as drawings evolve without worrying about consuming a limited quota. Additionally, Helonic's native Procore and Autodesk integrations allow findings to flow directly into existing project management workflows.
Milind is the co-founder and CEO of Helonic, where he leads product and go-to-market for AI-powered construction drawing analysis. He works closely with general contractors, project managers, estimators, and owners to understand how drawing quality drives project outcomes - and where AI can reduce RFIs, change orders, and rework. Milind has interviewed hundreds of construction professionals across project delivery roles, from preconstruction estimators at ENR top-400 contractors to facilities directors at institutional owners, and uses those conversations to shape both product direction and the way Helonic talks about the work.
How this page was researched: This comparison reflects the documented capabilities of Helonic and Firmus AI as of 2026, including Firmus AI's phase-comparison (AI-MATCH) and analysis-count pricing tiers. Feature assessments are based on each product's public documentation and Helonic's own review of the workflows described.
Last reviewed by Milind Sagaram · May 2026
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