Overlay

Overlay is Structured AI's tool for visually comparing architectural and engineering drawings by stacking them on top of each other. Built for AEC teams who need to coordinate across disciplines, it replaces the painstaking manual process of flipping between sheets or printing transparencies with a fast, reliable digital workflow.

At its core, Overlay lets you load two drawings, for example an architectural floor plan and the corresponding mechanical or structural sheet, and view them as a single stacked image. Each layer has independent controls for color, opacity, and blend mode, so you can tune the visualization to make discrepancies obvious. Fade one layer back to a ghosted outline while keeping the other at full saturation, recolor a layer to highlight contrast against the base, or switch blend modes to surface overlapping geometry that would otherwise be hidden. The controls are designed for the way reviewers actually work: small adjustments that reveal different kinds of conflicts as you scan across a sheet.

What makes Overlay genuinely useful, rather than just a viewer with sliders, is automated page alignment. Drawings from different disciplines are rarely scaled, rotated, or positioned identically on the page, even when they describe the same physical area of a building. Overlay handles this automatically. It detects the plan region on each sheet, identifies exterior building corners as alignment anchors, matches corresponding anchors across the two drawings using AI-driven spatial reasoning, and solves for the geometric transform that brings the layers into register. The result is that when you stack a mechanical plan over its architectural counterpart, the walls, columns, and openings actually line up, with no manual fiddling required.

The practical payoff is earlier clash detection. Misalignments between disciplines that would normally surface as RFIs, change orders, or field rework during construction become visible during design review, when they are cheap to fix. Project engineers, architects, and coordinators can catch conflicts in minutes instead of waiting for the next coordination meeting or trusting that someone, somewhere, flipped between the right two sheets.

Overlay is part of Structured AI's broader platform for engineering and architectural firms, integrated with project-level document management so overlays persist across sessions and stay scoped to the right team.

Structured is building the AI workforce for construction design engineering. Our platform automates QA/QC on engineering drawing sets, using cross-discipline vision-language agents. Every finding is returned deterministically with the exact page, location, rule, and fix. Our agents review drawing sets against code, spec, and firm standards in 30 minutes, solving the QA/QC bottleneck behind $177B in annual rework. Structured AI deploys vision-language agents that review every set against code, spec, and firm standards in 30 minutes, turning a weeks of monotonous work into a frictionless QA/QC gate.

The platform combines vision-language models with OCR to parse drawings and identify symbolic and image-based elements (MEP symbols, structural callouts, annotations), a multi-agent review system that runs cross-discipline checks in parallel, and internal fine-tuned LLMs for natural-language reasoning over codes, specs, and firm standards. A built-in chatbot copilot handles software navigation and onboarding for a frictionless user experience.

70% of construction rework starts with errors in design drawings. Structured AI deploys vision-language agents that review every set against code, spec, and firm standards in minutes through a frictionless QA/QC gate, solving a 177bn rework problem.

Our vision is an AECO industry where design errors no longer reach the field, where the tacit expertise engineers is translated to every project on earth. The documents that govern the built environment become a verified, defensible source of truth. The billion-dollar tax that rework imposes on construction goes to zero.

Our competitive advantage is years of domain expertise, compounded with elite commercial talent. Our CTO has spent nearly a decade building AI for the AEC industry, scouted at 18 to build innovation tools for Syska Hennessy Group. We've compounded this depth as we've scaled. Our engineering hires include software engineers with direct mechanical and electrical engineering experience, and architects. People who have stood on jobsites and reviewed drawings themselves. Our team understands the customer because, in many cases, our team has been the customer.

Structured AI is built on agentic AI throughout the stack: vision-language models with integrated OCR parse engineering drawings and recognise symbolic, image-based, and tabular elements; a multi-agent design-review system runs code, coordination, spec, and standards checks concurrently; proprietary fine-tuned LLMs reason over project documentation with engineering-grade accuracy; and a natural-language chatbot provides in-product navigation and contextual onboarding — so the entire experience, from review to interrogation, runs on emerging AI technology. We’d love to work with architecture and engineering firms across MEP, structural, civil, and architectural disciplines: the teams that author the drawing sets every building, road, and piece of infrastructure is built from.

We’d love to hear from design engineers, QA/QC managers, engineering directors, and principals: the people responsible for ensuring drawing sets are accurate, code-compliant, and aligned with firm standards before issuance. We serve the full size spectrum, from boutique multi-disciplinary studios to enterprise AE firms producing thousands of sheets per month. We also love to work with general contractors and owners who inherit these drawings downstream who feel the same pain (RFIs, change orders, rework) and benefit directly when the upstream QA layer is automated.