Engineering Intelligence for Smarter Product Development
Transform your engineering data into trusted AI insights
Engineering Knowledge Is Everywhere—But Rarely Where You Need It
Engineering teams spend too much time searching for information instead of creating value. Product knowledge is scattered across requirements, documents, CAD models, BOMs, and multiple business systems. As data volumes grow, finding the right information becomes increasingly difficult—and traditional AI tools often lack the engineering context to deliver reliable answers.
Now, what if your engineers could simply ask a question and immediately receive reliable answers based on your company's complete engineering knowledge?
Engineering Knowledge Is Everywhere—But Rarely Where You Need It
Engineering teams spend too much time searching for information instead of creating value. Product knowledge is scattered across requirements, documents, CAD models, BOMs, and multiple business systems. As data volumes grow, finding the right information becomes increasingly difficult—and traditional AI tools often lack the engineering context to deliver reliable answers.
Now, what if your engineers could simply ask a question and immediately receive reliable answers based on your company's complete engineering knowledge?
Engineering teams spend too much time searching for information instead of creating value. Product knowledge is scattered across requirements, documents, CAD models, BOMs, and multiple business systems. As data volumes grow, finding the right information becomes increasingly difficult—and traditional AI tools often lack the engineering context to deliver reliable answers.
Now, what if your engineers could simply ask a question and immediately receive reliable answers based on your company's complete engineering knowledge?
Imagine Every Engineer Having Instant Access to the Right Knowledge
Imagine an AI assistant that understands product structures, technical documents, CAD models, requirements, and engineering relationships—not as isolated pieces of information, but as part of one connected Digital Thread. Instead of searching multiple systems, comparing documents, or relying on tribal knowledge, your teams can instantly find the information they need, make better-informed decisions, and focus on developing innovative products.
But this is only possible when AI is built on a connected engineering data foundation—not added as another standalone tool.
Imagine Every Engineer Having Instant Access to the Right Knowledge
Imagine an AI assistant that understands product structures, technical documents, CAD models, requirements, and engineering relationships—not as isolated pieces of information, but as part of one connected Digital Thread. Instead of searching multiple systems, comparing documents, or relying on tribal knowledge, your teams can instantly find the information they need, make better-informed decisions, and focus on developing innovative products.
But this is only possible when AI is built on a connected engineering data foundation—not added as another standalone tool.
Imagine an AI assistant that understands product structures, technical documents, CAD models, requirements, and engineering relationships—not as isolated pieces of information, but as part of one connected Digital Thread. Instead of searching multiple systems, comparing documents, or relying on tribal knowledge, your teams can instantly find the information they need, make better-informed decisions, and focus on developing innovative products.
But this is only possible when AI is built on a connected engineering data foundation—not added as another standalone tool.
The CONTACT Approach: Engineering Intelligence Built into Your Enterprise Architecture
Most AI solutions for product development are built as add-ons. They connect to individual applications, solve isolated use cases, and often lack the engineering context needed to deliver reliable results. CONTACT Fourier AI is different. Built natively into the CONTACT Elements platform, it gives you AI that understands your products, your processes, and the relationships across your engineering data. The result is engineering intelligence that helps you innovate faster, improve decision-making, and scale AI across your entire product lifecycle.
Most AI solutions for product development are built as add-ons. They connect to individual applications, solve isolated use cases, and often lack the engineering context needed to deliver reliable results. CONTACT Fourier AI is different. Built natively into the CONTACT Elements platform, it gives you AI that understands your products, your processes, and the relationships across your engineering data. The result is engineering intelligence that helps you innovate faster, improve decision-making, and scale AI across your entire product lifecycle.
Most AI solutions for product development are built as add-ons. They connect to individual applications, solve isolated use cases, and often lack the engineering context needed to deliver reliable results. CONTACT Fourier AI is different. Built natively into the CONTACT Elements platform, it gives you AI that understands your products, your processes, and the relationships across your engineering data. The result is engineering intelligence that helps you innovate faster, improve decision-making, and scale AI across your entire product lifecycle.
This allows you to:
- Ask engineering questions in natural language
- Search across all product information—regardless of format
- Analyze technical documents with AI
- Access engineering knowledge instantly
- Support better decisions with contextual product intelligence
- Deploy AI securely across the entire product lifecycle
"Based on its ability to embed AI into governed lifecycle workflows, support federated architectures, and protect sensitive product data, CIMdata recommends that manufacturers seeking to strengthen their digital threads evaluate CONTACT Software’s Fourier AI."
CIMdata, Inc. about CONTACT Fourier AI, March 2026
Use Case: AI in test and requirements management
Our customer, an automotive supplier with more than 4,000 employees worldwide, wants to make repetitive engineering processes more efficient and reliable. These include the analysis of stakeholder requirements and the verification of developed systems using test cases (around 5,000 per year). For both processes, engineers needed about 10 to 15 minutes in each instance. Despite global standards, the quality of the results depended on the expertise of individual experts.
Our AI team worked closely with the customer's subject matter experts to define what AI could achieve in both cases. An analysis of the existing data in the PLM system CIM Database led to the identification of two use cases that quickly deliver noticable improvements. Corresponding prototypes, based on an LLM, were refined through prompt engineering in multiple iteration cycles. This resulted in two operational AI assistants in a short period of time.
With the AI assistants, Woco can reduce manual efforts and ensure consistently high quality. The AI systems reliably evaluate stakeholder requirements and, based on these, generate test cases, including acceptance criteria and semantic links. Employees only need to review and approve the results. They save up to twelve minutes per test case. Due to the large number of requirements, this results in annual savings in the high five-figure range. The quality of the results is consistently high, regardless of the experience of the personnel involved.
AI knowledge that moves you forward
Subscribe to AI Insights now and stay informed
AI technologies are constantly evolving and enable specific, often highly complex applications. Our AI Insights will help you maintain clarity. You'll receive vital guidance on how to successfully integrate Artificial Intelligence into your business. Explained clearly and concisely by our AI experts, delivered directly to your inbox every two weeks.
Stay ahead in just 2 minutes of reading:
- Clarity over complexity: Our AI team will contextualize trends, tools, and technologies for you – presented concisely and clearly.
- Strategic insights: Well-founded analyses and expert assessments help you make the right decisions.
- Proven use cases: Discover successful AI applications for engineering, manufacturing, and after-sales.
