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Check our blog for the newest insights. We write for you about the projects we are working on, show the backstage of our work and share our technological knowledge.

"Pink-toned graphic set against a background of three colleagues collaborating around a laptop in a workshop, showing a horizontal timeline connecting three stage labels: Custom order, Engineering plus BOM, and Build plus deliver, with two supporting labels below reading Quote before design and Project plan, a central caption stating one record equals from enquiry to delivery, and a footer noting engineer-to-order software prices and plans a custom job before the design exists"

Engineer-to-Order Software: A Buyer’s Guide for Custom Manufacturers

"Pink-toned graphic set against a background of a man viewing CAD software on a monitor, showing a wireframe cube annotated with a hole callout Ø25 H7, material S355, and a surface finish checkmark Ra 1.6, labeled one .STEP file, with connecting lines to three panels reading semantic PMI machine-readable, and 3D geometry and materials, and a footer stating STEP AP242, one file for 3D geometry and manufacturing information, no separate drawing, ISO 10303-242"

STEP AP242 and PMI Explained: The File Format Behind Model-Based Manufacturing

"Pink-toned graphic titled What Is GD&T, set against a close-up background of a micrometer measuring a steel beam, showing a technical drawing overlay with a dimension of 48, datum labels A and B, a position tolerance zone marked with a dashed circle and crosshair, and a feature control frame reading position, diameter 0.2, referenced to datums A, B, C, with three callout labels for feature control frame, tolerance zone, and datums A, B, C, and a footer stating ASME Y14.5 and ISO 1101 define 14 geometric characteristics in five families"

What Is GD&T? A Practical Guide to Geometric Dimensioning and Tolerancing

"Pink-toned graphic titled impact across the business, set against a factory production line background, showing an AI hexagon icon with dotted lines connecting to four labeled panels: Economic, higher margin per part produced; Operational, less unplanned downtime; Workforce, skilled work with fewer repetitive tasks; and Environmental, lower energy and material waste, with a footer stating 92% of manufacturers see AI as their top driver of competitiveness"

The Impact of AI in Manufacturing: How It Is Reshaping the Industry

"Pink-toned graphic titled Steel Fabrication Estimating Software, set against a background of a welder working amid sparks, showing an estimate panel with an I-beam icon breaking down cost bars for material by weight, cutting and drilling, welding and fit-up highlighted as the longest bar, connections, and a total quote, a speech-bubble callout reading labour drives cost and not weight pointing to the welding and fit-up bar, and a footer stating automated takeoff can cut steel estimating time by up to 90 percent"

Steel Fabrication Estimating Software: A Buyer’s Guide for Structural Steel Shops

"Pink-toned graphic titled Machine Learning in Manufacturing, subtitled proven examples and the methods behind them, set against a background of an industrial laser sensor and circuit boards, showing a flow from a data in box listing sensors, images, drawings, orders into an ML model hexagon, branching down to three example cards: BMW Regensburg using computer vision achieving 1,400 cars a day, ZF Friedrichshafen using predictive maintenance on sensor data, and Siemens Erlangen using digital twins achieving 69% more productivity, with a footer stating around 16% of German industrial firms already run intelligent systems in production, Fraunhofer ISI, 2024"

Machine Learning in Manufacturing: Examples & Methods

"Factory conveyor line with a magenta duotone overlay, headline reading Data the line makes and What comes back, showing sensors, cameras, and drawings flowing into an AI hexagon that reads and predicts, producing failure predicted, defect flagged, and structured data outputs, with a note that a person still decides and a stat citing 58.7% of German manufacturers now use AI (ifo Institute, 2026)."

AI in Production: A Practical Guide for Manufacturers

"Factory background with a magenta duotone overlay showing a woman working at machinery, headline stating 58.7% of German manufacturers now use AI, with text describing quoting that took half a day priced from the same drawing in under an hour, and a comparison graphic showing manual quoting at half a day versus with AI at under 1 hour."

RFQ Automation for Manufacturers: How AI Reads Drawings and Cuts Quoting Time

"Pink-toned graphic set against a factory hangar background, headed by an ML icon with the text trained on the data you already collect and a badge reading 10 use cases, listing six machine learning applications: predictive maintenance for fewer breakdowns, quality inspection to catch defects early, process optimisation for higher yield, demand forecasting to plan with less guesswork, supply chain management to avoid delays, and energy optimisation to cut cost and carbon, with a footer stating around 16% of German industrial firms already run intelligent systems in production, Fraunhofer ISI, 2024"

Machine Learning Use Cases in Manufacturing: 10 Examples With Case Studies

"Pink-toned graphic showing a man and woman examining a technical drawing on a table, overlaid with a stat callout reading 94.8% GD&T precision, 2025 study, headline text stating dimensions, tolerances, GD&T and materials, pulled straight into structured data, a code panel labeled extracted.json displaying dimension 132 mm, tolerance +/- 0.05, gd_and_t 0.02 | A, and material S355 steel, and a CAD detail panel labeled bracket_rev_c.dwg – detail A showing a rectangular part with a circular hole, dimension lines of 132 +/- 0.05 and 84, a datum flag A, and a position tolerance callout of 0.02 relative to A"

Can AI Read Engineering Drawings?

"Two workers in hard hats operate machinery in a pink-orange duotone photo, with a two-column comparison overlay split by an "AI" icon. The left column, "Where AI Helps," lists reading drawings and order intake, quotation from past projects, and repeat configuration and BOM, each with a checkmark. The right column, "Where It Stays Human," lists novel design and judgement, first-of-a-kind builds, and complex client trade-offs, each with a person icon. Text at the bottom states that 58.7% of German manufacturers now use AI, according to the ifo Institute, 2026."

Engineer-to-Order Manufacturing: Where AI Helps and Where It Does Not

"A worker in coveralls stands at an industrial control panel with multiple monitors, overlaid in a pink and orange duotone effect. A central hexagon labeled "AI" connects via dotted lines to four labeled boxes: "Predictive Maintenance," "Quality and Inspection," "Connected Supply Chain," and "Digital Twin." Text on the left cites the smart manufacturing market reaching approximately USD 913bn by 2033, according to Fortune Business Insights."

Smart Manufacturing and AI: How Intelligence Runs the Smart Factory

"Two engineers examine documents in a pink-orange duotone photo, overlaid with a five-step timeline labeled "AI speeds and traces every change" beneath an "AI" hexagon icon. The steps read ECR (change requested), Review (impact assessed), ECO (change approved), ECN (change released), and In sync (one current revision), the last marked with a checkmark. Text at the bottom states that 58.7% of German manufacturers now use AI, according to the ifo Institute, 2026."

Engineering Change Management: Design Changes Get Lost in Email and Spreadsheets

"A man in a pink-orange duotone photo looks at a monitor showing a technical drawing of industrial piping with a dimension callout reading "Ø 132 h7." A diagram overlays the image showing the drawing feeding into an "AI" icon labeled "AI reads it," which extracts structured data into three boxes: "Dimensions," "Tolerances and GD&T," and "Materials and threads," flowing into an "ERP" screen labeled "Into your ERP." Text at the bottom notes that engineers spend around 23% of their time on non-value-added work, according to CoLab."

AI for CAD Drawings: What It Can Do in 2026

"Robotic arm on a factory floor with a magenta duotone overlay, four labels arranged in a circular flow: Machine Vision, Edge AI, Adaptive Control, and Predictive Maintenance, with a caption citing Grand View Research on the AI in industrial automation market reaching USD 90bn by 2033."

AI in Industrial Automation: A Practical Guide

"Factory floor background with a magenta duotone overlay, headline reading 10 real examples across the floor, design and back office, and four labeled items: 01 Predictive Maintenance, 02 Visual Quality Control, 09 Reading CAD Files, and 10 Automated Order Intake, with a note mentioning digital twins, forecasting, cobots, scheduling and more."

Learn MoreFrom Our Insights.

Blog.

Engineer-to-Order Software: A Buyer’s Guide for Custom Manufacturers

STEP AP242 and PMI Explained: The File Format Behind Model-Based Manufacturing

What Is GD&T? A Practical Guide to Geometric Dimensioning and Tolerancing

The Impact of AI in Manufacturing: How It Is Reshaping the Industry

Steel Fabrication Estimating Software: A Buyer’s Guide for Structural Steel Shops

Machine Learning in Manufacturing: Examples & Methods

AI in Production: A Practical Guide for Manufacturers

RFQ Automation for Manufacturers: How AI Reads Drawings and Cuts Quoting Time

Machine Learning Use Cases in Manufacturing: 10 Examples With Case Studies

Can AI Read Engineering Drawings?

Engineer-to-Order Manufacturing: Where AI Helps and Where It Does Not

Smart Manufacturing and AI: How Intelligence Runs the Smart Factory

Engineering Change Management: Design Changes Get Lost in Email and Spreadsheets

AI for CAD Drawings: What It Can Do in 2026

AI in Industrial Automation: A Practical Guide

10 Real Examples of AI in Manufacturing

Learn More
From Our Insights.