Price construction risk on design-level evidence
Helonic is an AI construction drawing analysis platform for insurance underwriters who review 2D PDF drawing sets.
Assess project risk, quantify defect potential, and make data-driven underwriting decisions directly from construction drawing analysis, before coverage is bound.
What slows down underwriters?
Underwriters price construction risk without a sheet-level record of the design issues that later become defect claims.
- Assessing Project Risk. Construction defect claims are among the most costly in commercial insurance, but underwriters lack objective tools to evaluate design quality before binding coverage.
- Quantifying Defect Potential. Without technical drawing analysis, underwriters rely on project size, cost, and team reputation, missing the design quality signals that predict claims.
- Underwriting Accuracy. Pricing construction risk accurately requires understanding the specific technical risks in each project's design, not just aggregate industry data.
How does Helonic help?
Helonic produces a project-level drawing-risk summary that underwriters can file beside the application and reuse across the book.
Risk scoring is built from the same checks as code compliance checking and AI document review, run before coverage is bound.
- Pre-Construction Risk Scoring. Analyze construction documents before coverage is bound to generate a risk score based on design quality, coordination completeness, and code compliance, giving underwriters objective data for pricing decisions.
- Defect Probability Assessment. Identify high-risk coordination areas, common defect patterns, and design quality indicators that correlate with future claims based on analysis of the actual construction documents.
- Code Compliance Verification. Screen drawings against building code, fire code, and accessibility requirements to identify compliance gaps that could lead to code violation claims or remediation costs.
- Design Quality Benchmarking. Compare drawing quality metrics against industry benchmarks to understand where a project stands relative to similar building types, sizes, and complexity levels.
- Portfolio Risk Analysis. Analyze drawing sets across your insured portfolio to identify systemic risk patterns, common deficiencies, and opportunities to improve loss ratios through targeted risk mitigation.
What issues does Helonic catch?
Helonic flags missing waterproofing details, rating gaps, and coordination density that historically track with defect claims.
Risk Indicators
- High-risk coordination areas likely to produce field conflicts
- Code compliance gaps creating liability exposure
- Incomplete document sets missing critical details
- Design quality concerns indicating higher defect probability
Portfolio Patterns
- Historical defect patterns correlated with design characteristics
- Waterproofing and envelope design deficiencies
- Structural coordination issues in complex geometries
- MEP system sizing errors affecting building performance
What return do underwriters see with Helonic?
Underwriters can price and select accounts from documented drawing quality instead of a narrative risk description.
| Figure | What it measures |
|---|---|
| Data-Driven | Data-driven risk assessment based on actual design quality analysis |
| 30% | More accurate underwriting from objective drawing review |
| Reduced | Claims exposure, through pre-construction risk identification before coverage is bound |
Frequently Asked Questions
How can an underwriter use Helonic during underwriting?
What does it reveal about claim risk?
Does it replace an underwriter's judgment?
How fast can it screen a set?
Milind Sagaram
Co-founder & CEO, HelonicMilind 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.
- 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: Guidance references the drawing-quality signals that correlate with claim risk, grounded in Helonic's review of sets across project types and the industry rework and defect data. Examples reflect the patterns that distinguish high-risk from low-risk documentation.
Last reviewed by Milind Sagaram · August 4, 2026