Self-service AI drawing review versus AI peer-review QC for developers and contractors
Lighttable reviews 2D construction documents as quality control for developers and contractors. You upload drawings, specs, and checklists; it returns coordination and constructability findings, ranked for cost impact, with what they describe as expert-validated insights. Helonic is a self-service platform: your team runs the PDF set, gets located issues across ten categories, and pushes RFIs into Procore or Autodesk.
Both tools read issued PDFs and do not require a BIM model. The split is who drives the review and how findings leave the tool. Helonic is built for GCs, architects, and engineers who want to keep the review in-house. Lighttable is built as a QC / peer-review layer, including issue comments, unlimited users, and ball-in-court tracking on their own workspace.
Pricing follows that split. Helonic quotes a subscription from sheet volume and team size. Lighttable is commonly sold per project square foot, which can fit a single developer job and get awkward across a GC portfolio. Confirm current numbers with both vendors before you treat price as the decider.
Helonic keeps review and RFI handoff on your team. Lighttable packages AI detection with expert-validated QC and its own issue workspace.
| Feature | Helonic | Lighttable |
|---|---|---|
| Automated 2D drawing review | ||
| BIM model required | ||
| Review model | Self-service platform | Expert-validated QC |
| Native Procore / Autodesk RFI push | Not published | |
| Detection scope | 10 issue categories | Coordination + constructability |
| Cost-impact ranking | Severity ratings | |
| Specs and checklists in the upload | Spec analysis | |
| Issue comments and ball-in-court | Via Procore / Autodesk | |
| Published pricing model | Sheet-volume subscription | Per square foot |
| Primary buyer | GCs, architects, engineers, owners | Developers and contractors |
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: Comparison based on Lighttable's public product pages (AI QC for developers and contractors, expert-validated findings, cost-impact ranking, specs and checklists) and Helonic's shipped Procore and Autodesk workflow. Pricing models are described as they are commonly sold; neither vendor publishes a full public rate card.
Last reviewed by Milind Sagaram · September 2026
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