KI für technische Zeichnungen und CAD-Analyse

Where does engineering capacity get lost?

In manufacturing companies that work to order, bottlenecks are predictable. They all stem from the same root cause: people carrying out repetitive tasks that do not require human intervention.

You should consider AI-based engineering automation and get in touch with us if:

Design changes live in emails and spreadsheets

Modifications happen. Without a single source of truth, however, these changes can become scattered across inboxes, Excel files and verbal updates. The wrong version is produced. Margin disappears.

Quoting requires your best engineers

A client sends drawings for a custom order. Before you can even submit a price, a senior CAD specialist spends hours on manual analysis that AI for technical drawings should handle instead.

Past projects are unfindable

You’ve solved this problem before. Somewhere. Instead of reusing what already exists, your team spends hours searching folders and asking colleagues.

Nesting is still done by hand

Optimising part layout on sheet material requires the expertise of a specialist and involves hours of work that automatic nesting software should handle instead. Material waste resulting from suboptimal nesting builds up silently across every production run.

Quoting at the speed of demand

Your engineers are now free from manual drawing analysis at the RFQ stage. Quoting time is reduced. More opportunities can be evaluated without increasing staff numbers.

One source of truth for every design change

Design modifications are tracked with a full history. No more scattered versions across emails and spreadsheets. The correct drawing always reaches production.

AI aggregates and structures incoming project information

Design changes, client clarifications, and specification updates arrive across emails, chat threads, and attached files.

Past work becomes a competitive asset

Your entire project archive becomes both searchable and reusable. Engineers can easily find and build on existing work instead of recreating it from scratch.

Pilots scoped to your data, measured against real ROI

We build Proof of Value with your actual drawings, ERP system and workflow, and agree on success metrics before we start.

Material waste designed out, not inspected out

AI-powered nesting optimisation understands geometry and production constraints. Waste is reduced across every production run, not just when a specialist is available.

Three examples from engineering-to-order operations:

Example 1: Optimal nesting of metal sheet for custom parts in minutes

A client sends an order for 12 custom sheet metal components. AI arranges the parts on the sheet to minimise waste, taking into account not only size, but also which edges can share a cut and which tolerances prevent adjacency.

Result: 4 minutes instead of 2 hours of specialist time.

Example 2: All RFQ data automatically in system after receiving an email

A client sends a quote request containing an engineering drawing of a non-standard bracket. Before your engineer opens the file, AI has extracted: 4× M6 holes, material grade, surface treatment, critical dimensions with tolerances – and flagged that wall thickness at one location is borderline for your press brake.

Result: Structured data ready before the file is opened!

Example 3: Time engineers spend on quotation greatly reduced with AI project history search

A quotation request is received for custom propeller shafts. AI searches your entire project history and finds three previous projects with matching parameters. The closest one requires only minor modifications to meet the new specification.

Result: The engineer starts with half of the work already done, rather than starting from scratch.

Four pillars of our integrated AI for technical drawings solution

We build our solutions in a modular way – you don’t need all features from day one. Every cooperation starts with identifying which capability delivers the clearest ROI for your specific workflow.

Pillar 1: CAD embedding and semantic search across your drawing library

Technical drawings are embedded and made searchable using semantic technology. Engineers can find similar projects or specific components by describing what they need, without having to rely on file naming conventions or folder archaeology.

Business impact: Institutional knowledge becomes accessible in seconds. Past work is reused instead of recreated.

Pillar 2: Drawing intelligence

AI engineering drawings analysis that reads geometry, not just text

The system can identify the objects, dimensions, tolerances and spatial relationships with other components on a technical drawing, even if there are no descriptive labels. Structured data is extracted automatically.

Business impact: Manual re-entry is eliminated. Quoting is faster. Documentation errors are caught before production.

Pillar 3: Spatial Optimisation

AI for CAD drawings that places components to minimise waste

A reinforcement learning model that understands spatial constraints, such as nesting parts on sheet material, fitting components within assemblies and detecting geometric collisions. It is trained on the logic of your specific production constraints.

Business impact: Material waste is reduced. Nesting time reduced from hours to minutes. Collision detection before machining.

Pillar 4: Integration Layer

A standardised connection to your existing systems

All capabilities are packaged as standardised services, enabling connection to your ERP, CAD platform and document systems without the need for replacement. It is built to work alongside your existing engineering tools, not on top of them.

Business impact: No workflow disruption. Engineers can continue to use their existing tools. AI augments the process.

About DAC.digital

Thirteen years of experience in building AI for real industrial environments.

We have built computer vision systems for Komatsu’s autonomous forestry equipment and quality control AI which has eliminated 90% of defects in furniture production. We have also developed automated inspection systems for complex technical assemblies. We are not new to manufacturing AI – AI for technical drawings is our next frontier.

We have 13 years‘ experience building industrial AI systems, 150+ engineers (including ML and computer vision specialists), and have been recognised as one of Deloitte & FT’s fastest-growing companies four times. We are ISO 27001 certified and offer enterprise-grade security.

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