HelonicHelonic

Helonic vs Firmus AI

Proprietary AI drawing analysis across the full project lifecycle versus AI-powered preconstruction design review with phase-over-phase comparison.

Quick summary

Choose Helonic if:

  • You need analysis beyond preconstruction into active construction
  • Proprietary AI analysis matters for reducing false positives
  • You want native Procore and Autodesk integration
  • You need unlimited analyses without per-review caps
  • Code compliance and accessibility checks are critical

Choose Firmus AI if:

  • Phase-over-phase comparison (DD to CD to IFC) is a key need
  • You want AI-generated markups on detected issues
  • You need unlimited users across your organization
  • Your focus is strictly on preconstruction design review
  • You prefer a dedicated issue mitigation workspace

Feature comparison

FeatureHelonicFirmus AI
Automated issue detection
Proprietary AI model
Phase comparisonAI-MATCH
Code complianceLimited
Procore integration
Autodesk integration
AI-generated markups
Analysis limitsUnlimited5–100/year
User limitsPer seatUnlimited
ScopePre-con + constructionPreconstruction only

Lifecycle breadth vs preconstruction depth

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.

Frequently Asked Questions

Is Firmus AI only useful during preconstruction?
Firmus AI is primarily designed for preconstruction design review, with their AI-MATCH feature optimized for comparing drawing sets across design phases (DD, CD, IFP, IFC). Helonic supports analysis throughout the project lifecycle, from initial design review through active construction, making it useful for teams who need ongoing drawing analysis.
How do the analysis limits work in practice?
Firmus AI's tiered pricing includes a fixed number of analyses per year (5, 25, 50, or 100 depending on your plan). Each time you upload a drawing set for review, it counts against your annual limit. Helonic doesn't impose analysis count limits, so you can re-analyze drawings as often as needed, useful when drawings go through frequent revisions.
Does Firmus AI's phase comparison offer something Helonic can't do?
Yes. Firmus AI's AI-MATCH feature is specifically designed to compare drawing sets across project phases and highlight what changed. Helonic focuses on analyzing a single drawing set comprehensively rather than comparing across phases. If phase-over-phase tracking is critical to your workflow, Firmus AI has a genuine advantage there.
Which platform is better suited for general contractors?
Helonic's broader scope (preconstruction through construction), native Procore and Autodesk integrations, and unlimited analysis model make it a natural fit for GCs managing multiple active projects. Firmus AI's preconstruction focus and unlimited-user model can work well for large design review teams that need to standardize preconstruction QA.
MS

Milind Sagaram

Co-founder & CEO, Helonic

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.

Areas of focus
  • Construction project delivery and preconstruction
  • RFI and change order economics
  • Owner and GC workflows for drawing QA/QC
  • Estimating risk and bid-stage scope assessment

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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See Helonic across the full project lifecycle

Upload your drawings and see what issues our proprietary AI catches, with no analysis count limits.