Scale QA/QC across every team and every milestone
Helonic is an AI construction drawing analysis platform for design managers who review 2D PDF drawing sets.
Automate QA/QC across design teams, enforce drawing standards, and catch coordination errors before documents leave your office.
What slows down design managers?
Design managers cannot keep QA/QC consistent when every office and milestone depends on whichever senior reviewer is free.
- QA/QC Across Teams. Multiple designers and engineers produce drawings with varying quality levels, and manual QA/QC reviews are inconsistent and time-consuming.
- Maintaining Standards. Firm-wide drawing standards, CAD protocols, and documentation requirements are difficult to enforce consistently across projects and offices.
- Catching Errors Pre-Issuance. Design errors found after document issuance cause change orders, delays, and liability, but thorough pre-issuance review is hard to scale.
How does Helonic help?
Helonic runs the same drawing checks on every milestone so QA/QC does not depend on one senior reviewer staying late.
Milestone QA/QC uses drawing set completeness to catch missing sheets and detail cross-referencing to catch callouts that point to the wrong detail.
- Internal QA/QC Automation. Run automated quality checks on every drawing set before issuance to catch coordination errors, missing information, and code compliance gaps that manual review misses under deadline pressure.
- Cross-Discipline Coordination Review. Automatically verify that architectural, structural, mechanical, electrical, and plumbing drawings are coordinated, catching conflicts between disciplines before they become field problems.
- Drawing Standard Enforcement. Check drawing sets against your firm's documentation standards to identify formatting inconsistencies, missing details, incomplete schedules, and non-standard notations.
- Issue Tracking Across Milestones. Track issues identified at SD, DD, and CD milestones to verify that previously flagged problems are resolved in subsequent submissions and do not persist through to construction.
- Design Team Performance Metrics. Generate objective quality metrics across projects and teams to identify patterns, training needs, and opportunities to improve design processes and reduce errors.
What issues does Helonic catch?
Helonic surfaces repeated coordination misses, note conflicts, and incomplete details that slip between SD, DD, and CD.
Quality & Standards
- Inconsistencies between architectural and engineering disciplines
- Drawing standard violations across team members
- Incomplete schedules, legends, and general notes
- Detail references pointing to missing or wrong sheets
Coordination & Completeness
- Missing coordination between structural and MEP systems
- Incomplete document sets at milestone submissions
- Code compliance items unresolved from prior reviews
- Specification sections not matching drawing details
What return do design managers see with Helonic?
Design managers get a repeatable QA pass on every issue set, which shortens late-night reviews and reduces bounced CDs.
| Figure | What it measures |
|---|---|
| 60% | Faster QA/QC cycles through automated drawing analysis |
| 50+ | Issues caught per milestone submission across disciplines |
| Consistent | Quality maintained across all projects and team members |
Frequently Asked Questions
How does Helonic support internal design QA/QC?
Can it enforce drawing standards across a team?
Does it track issues across milestones?
Does it need a model or just the PDFs?
Manas Gandhi
Co-founder & CTO, HelonicManas 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.
- AI for technical document understanding
- Cross-discipline coordination workflows
- Code compliance automation (IBC, NEC, NFPA, IPC, IMC, ASCE)
- Structural and MEP drawing review systems
How this page was researched: Guidance references internal QA/QC standards, drawing-standard enforcement, and milestone review design managers run. Examples are drawn from Helonic's review of in-progress sets across disciplines.
Last reviewed by Manas Gandhi · August 14, 2026