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Helonic

AI clash detection and code compliance review for 2D construction drawings

Y Combinator-backed platform that scans uploaded or Procore/Autodesk Construction Cloud-synced 2D PDF drawing sets across architectural, structural, and MEP disciplines for coordination conflicts, code violations, and constructability issues, without requiring a BIM model. Flagged issues can be exported or pushed directly back to Procore or ACC as RFIs, observations, or punch items.

$500K (Y Combinator investment, Fall 2025 batch); no additional disclosed funding rounds as of research date raisedEarly Stage
Founded 2025 · 10 customer logos displayed on the homepage (Barnhill Contracting, Omni Structural, Lema Construction, Archi Group of Builders, LS Black Constructors, Swinerton, Urban Core, Johnson Pace, Whiting-Turner, LMG Ventures); exact paying-customer count not disclosed. Vendor claims 1,000+ drawing reviews completed, 100,000+ pages analyzed, and 150,000+ issues caught as of research date -- self-reported, not third-party audited. 2-person founding team (per Y Combinator company profile); Y Combinator Fall 2025 batch; headquartered in San Francisco.
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WHY IT EXISTS

Why This Tool Exists

The Problem

Manual review of construction drawing sets by architects, GCs, and MEP engineers is slow and frequently misses cross-discipline coordination conflicts, code violations, and constructability issues until they surface later as RFIs or field rework. Helonic cites the average RFI as costing $1,080 and taking 10-15 days to resolve, with the U.S. construction industry losing an estimated $31 billion annually to preventable rework.

The Solution

Helonic ingests every page of a 2D PDF drawing set -- either uploaded directly or pulled in one click from a connected Procore or Autodesk Construction Cloud project -- and runs it through a proprietary "purpose-built construction AI" that flags issues across 10 categories: coordination conflicts, code compliance violations, missing information, structural concerns, MEP clashes, fire safety gaps, accessibility issues, constructability problems, dimension discrepancies, and QA/QC items. Detected issues can be exported or pushed back to Procore/ACC as formatted RFIs, observations, or punch items; the vendor states analysis of a drawing set completes in roughly 30 minutes.

USAGE

How You Use It

Delivery Method
SaaSWeb App
Integrations
ProcoreAutodesk Construction Cloud
Disciplines
Architecture, Structural Engineering, Civil Engineering, Mep Engineering, Construction
Workflows
Coordination & Delivery, Code & Compliance
Project Phases
Design Development, Construction Documents, Preconstruction, Permitting, Construction Administration
Project Types
Not publicly specified - vendor markets broadly to general contractors, architects, and structural/civil/MEP engineers with no stated restriction to a specific building-type segment; homepage customer logos include large commercial GCs (Whiting-Turner, Swinerton) alongside smaller residential/structural firms
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:2D PDF construction drawings
Optional:Project specifications (for spec-vs-drawing cross-referencing), Prior drawing set revisions (for revision/backcheck comparison)
Formats:PDF
Output
What you get
Format:Web dashboard with flagged issues overlaid on the drawings; exportable or one-click pushable to Procore/ACC as RFIs, observations, or punch items
Fields:Flagged issues by category (coordination, code compliance, missing information, structural, MEP clash, fire safety, accessibility, constructability, dimension discrepancy, QA/QC), Page/sheet location of each flagged issue, Severity rating, Formatted RFI text, Revision/version comparison markups
Algorithm
How it works
Model:Proprietary "purpose-built construction AI" trained specifically on construction drawings (no named base model, ML framework, or vendor publicly disclosed)
Accuracy:Vendor claims vary by page: the homepage states "90%+ detection accuracy across 10 categories," while a March 2026 blog post separately claims "95%+ accuracy" for the underlying model; neither figure is accompanied by a published validation methodology or independent benchmark. The vendor's own site notes accuracy "varies by drawing quality, discipline, and issue type" and that the tool is meant to support, not replace, professional review. Helonic also self-publishes a "2026 Construction AI Report" ranking itself against competitors -- a vendor-authored comparison, not an independent audit.
Privacy
How your data is protected
Retention:Not specified with a concrete duration -- the privacy policy states data is retained "for as long as necessary to provide our services" and is deleted or anonymized on request unless legally required to be retained
Training:Not explicitly addressed in the privacy policy whether customer drawing/project data is used to train Helonic's AI models
Compliance:Claims SOC 2 compliance on its privacy and security pages ("independently assessed against the SOC 2 Trust Services Criteria for security," stated as maintained on an ongoing basis) -- no audit report or trust-center badge is publicly available to verify this claim, Vendor-stated technical controls: TLS 1.2+ encryption in transit, AES-256 encryption at rest, dedicated secrets management, MFA for critical systems, access reviews, and a formal incident-response process
API
Integration
Endpoint:Not publicly documented; no self-serve API is listed among Starter/Professional/Enterprise tier features
Method:Not publicly specified
USE CASES

Use Cases

  • ·Pre-bid and pre-permit constructability review to catch coordination conflicts before submission
  • ·Cross-discipline clash detection (architectural/structural/MEP) directly from 2D PDFs without a BIM model
  • ·Code compliance screening against IBC, ADA, and NFPA fire/life-safety requirements
  • ·Automated RFI, observation, and punch-item generation with one-click push to Procore or Autodesk Construction Cloud
  • ·Revision comparison to catch unclouded changes between drawing set versions during design QA/QC
PRICING

Pricing

Free
No self-serve free tier; pilot programs available for qualified teams per the pricing FAQ
Pro
Starter tier (custom/volume-based pricing, contact sales) -- multi-discipline analysis, code compliance checks, email support, PDF export; aimed at small teams
Professional
Professional tier (custom/volume-based pricing, contact sales; annual-commitment discounts available) -- unlimited sheets, all Starter features, Procore integration, RFI generation, custom checklists, team collaboration, priority support
Enterprise
Enterprise tier (custom pricing) -- all Professional features plus SSO/SAML, custom integrations, dedicated account manager, on-premise deployment, SLA guarantees, and custom training
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Research Sources & Data QualityLast verified: 2026-07-17
Data Sources (14)
Verified Data (16)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, yearFounded, headquarters, legal-entity-name, rebrand-history, compliance-soc2-claim, privacy-retention-policy, security-technical-controls, pricing-tier-structure, useCases, input-formats
Not Found (10)
api-documentation, exact-pricing-rates, named-ml-model-or-framework, independent-accuracy-benchmarks, exact-data-retention-period, ai-training-data-policy-explicit, total-paying-customer-count, employee-count-beyond-2-founders, follow-on-funding-round, project-type-segmentation
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.
ALTERNATIVES

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