DraftWorks

The Problem

Small Drawing Errors Lead
to Large Program Delays

Engineers manually review drawings across evolving standards, specs, and BOMs — and mistakes are often caught too late, when they cost the most to fix.

63%

Programs affected

of major defense programs experienced engineering changes, contributing to 72% cost growth vs. 11% for programs without changes.

100×

Cost of late defects

Defects discovered later in the lifecycle can become up to 100× more expensive to resolve than those caught early.

>30%

Engineering time lost

Engineers may spend over 30% of their time on non-value-added data reconciliation, review, and documentation tasks.

Manual Validation

Engineers manually review and update drawings for sustainment and obsolescence across evolving standards, specs, and BOMs.

Errors Detected Late

Missed inconsistencies in drawings are often only discovered late in the process — well past the cheapest point to fix them.

Costly ECPs & Delays

Errors found during approval trigger Engineering Change Proposals (ECPs), delaying critical hardware programs.

Sources: GAO / AFIT Research · NASA Systems Engineering · Dassault Systèmes Engineering Study

The Solution

DraftWorks is an AI co-pilot that validates assembly drawings, flags inconsistencies and outdated components, and generates compliant markup to reduce manual review across government workflows. Built for mission-critical and highly regulated engineering review environments.

Deployment Opportunities

Built for mission-critical and highly regulated engineering review workflows.

Government Engineering Organizations

Government engineering and sustainment environments managing technical documentation, configuration control, and engineering review workflows.

Defense Industrial Base & Suppliers

Defense manufacturers, subcontractors, and suppliers operating within compliance-driven engineering and production environments.

Core Capabilities

Four integrated steps turn a raw engineering drawing and supporting data into a structured compliance report.

01 — Ingest

Ingest Data

Upload assembly drawings (PDF/image)
Attach BOM / parts lists
Attach standards and specifications

02 — Parse

Parse & Structure

Convert drawing into structured data
Extract title block, notes, and revisions
Identify components and relationships
Build a machine-readable representation

03 — Validate

Validate & Compare

Detect inconsistencies and missing info
Cross-check drawing vs BOM
Flag outdated components and specs
Identify missing requirements

04 — Generate

Generate Output

Highlight issues and suggest fixes
Mark issues directly on drawings
Recommend corrections and alternatives
Generate compliant markup / redlines

Architecture

DraftWorks Architecture

A modern cloud stack from file upload through AI analysis to structured issue output.

User Uploads Files

Assembly drawing (PDF or image) plus optional context files and foundational org context via RAG.

Drawing PDF/Image · Context Files · SurrealDB (RAG)

Frontend Web App

React/TypeScript interface hosted on Vercel, orchestrating uploads and displaying structured results.

DraftWorks Web App · Vercel

Backend API

FastAPI service hosted on Render receives files, coordinates processing, and returns normalized issue lists.

FastAPI · Render

Processing Layer

OCR extracts text from scanned drawings; zone parsing splits pages into title block, notes, revision block, and drawing area; rule matching runs standards and BOM checks.

rapidocr · pymupdf · Zone Parsing · Rule Matching