Artificial intelligence

Are you looking for an intelligent solution for your geometry data that can be customised to your needs, is easy to integrate and offers maximum added value?

Artificial intelligence in product development

Efficiency redefined: AI meets 3D geometry

Our AI solutions understand, analyse and interpret geometry data – intelligent, tried-and-tested and productive in use at leading OEMs in the automotive, commercial vehicle and aerospace sectors. We have been developing powerful algorithms for over 25 years and have been combining them with our own AI for more than a decade.

The result: tried-and-tested solutions that significantly accelerate processes in digital product development – for a rapid return on innovation.

Unique Advantages

New process

Customised efficiency

Our specialised AI solutions automate development processes in a targeted manner and are precisely tailored to specific use cases.

New application

Focus on geometry data

The AI algorithms analyse complex geometric data, support users in making decisions and learn independently.

Optimise process

Quickly ready for use

Our standardised AI software modules can be integrated into existing systems and processes via API interfaces.

An overview of our proven AI solutions

Generic AI for virtual geometric validation

Generic AI significantly accelerates the VGA process and makes the digital validation of virtual prototypes much more efficient. It takes over key steps fully automatically – from data preparation and the standardised visualisation of potential conflict points to a comprehensible evaluation proposal. The technology is already analysing millions of component pairings at OEMs and is immediately ready for use thanks to the pre-trained model – with up to 50% efficiency gains in the process and significantly reduced manual effort.

Co-learning AI for virtual geometric validation

The co-learning AI extends the generic AI with continuous, customer-specific learning in the VGA. It takes historical decisions, contextual information and current evaluations into account in order to assess more conflicts precisely and consistently. Critical and non-critical situations are differentiated, manual steps are reduced and decisions are standardised. When in productive use, the co-learning AI increases the efficiency of the VGA by up to 80 per cent and ensures a significantly faster, leaner development process.

AI for photorealistic image generation

Visual representations are indispensable throughout the entire product development process in order to communicate complex CAD and 3D data in an understandable way. AI for image generation automates this process and creates photorealistic images quickly and efficiently directly from 3D data. It automatically optimises the rendering, corrects image artefacts and delivers consistent, high-quality results. This creates convincing visuals for development, coordination and marketing without the need for additional hardware or external service providers.

AI for component recognition

AI for component recognition automates the identification and classification of components in large 3D data sets, creating a reliable basis for complex development processes. Regardless of designations or language variants, it recognises components based on their geometry and provides context-related information. This speeds up subsequent processes such as testing, simulation or documentation, reduces errors and significantly increases data quality – for faster, more transparently structured product development.

AI for screw checks

Screws and connecting elements are safety-critical components whose geometric errors are often difficult to recognise in complex CAD data. The AI for screw checks automates the inspection of all screw connections, detects even hidden conflicts and analyses geometry, fit and alignment in the respective context. It delivers comprehensible results and clear evaluation suggestions, significantly reduces manual inspection effort and increases the quality of digital prototypes. In the long term, the solution will be extended to other connecting elements to enable comprehensive automated quality inspection.

AI for geometric similarity analysis

The AI for geometric similarity analysisi creates transparency in complex 3D data and supports companies in reducing component diversity in a targeted manner. It automatically recognises and groups geometrically similar components and assigns new geometries to existing structures based on defined similarity values. This enables a consistent identical parts strategy, significantly reduces manual search and comparison efforts, and sustainably reduces development, production and storage costs.

AI agent for Geocheck on Demand

The AI agent brings artificial intelligence to design engineers. Once the technology is integrated into the PLM system, the agent automatically checks component interfaces for criticality. This allows geometric conflicts to be identified early on, communicated, and resolved by the design engineers.

AI for service (prototype)

Service AI supports digital after-sales even during the development phase. It automatically monitors data sets and alerts users when service concepts change or geometric deviations occur in the development data. The prototype recommends inspections only where they are necessary – eliminating the need for manual checks and significantly reducing the workload for users.

AI development at invenio Virtual Technologies

Our specialist articles on the topic of artificial intelligence

"Artificial intelligence – this one or none?" + Expert talk with Hermann Gaigl

AI in geometric validation – from assistant to decision-maker

Achieving top performance with AI: customised solutions for the digital future

Our expertise for AI in practice

Webinar: „AI in Geocheck – automatic detection and evaluation of geometric conflicts using artificial intelligence

As part of a joint webinar with Siemens, our Head of International Business and Partners, Marco Santruschek, showed how our AI can significantly accelerate virtual geometric validation (VGA, Geocheck). The focus was on the use of AI for the automated geometric evaluation of complex product structures throughout the development process.
It became clear that the added value lies in specialised AI solutions with a clearly defined use case. AI supports the evaluation of geometric relationships, integrates experts as required and thus enables a VGA process that is up to 80 per cent more efficient – with higher decision quality and full transparency.

Bayern Innovativ: "ChatGPT is not a panacea."

Our Managing Director Hermann Gaigl gave a presentation at the online event on the topic of "Benefits and possible applications of ChatGPT for SMEs". The event was part of Bayern Innovativ's transformation series. During the presentation, it was particularly important for us to emphasise once again that ChatGPT is not a panacea, especially not in the DMU environment for specific use cases in digital product development. This requires other, specialised AI solutions, for which the following always applies: you have to know your use case and your data precisely. How the users interact with the AI and how the AI is kept up-to-date must be clear from the outset.

IHK committee meeting "The various facets of artificial intelligence"

At the invitation of the Chamber of Industry and Commerce for Munich and Upper Bavaria IHK für München und Oberbayern, our Head of Sales and Marketing, Michael Pretschuh, gave a presentation on the topic of AI at a committee meeting. It was primarily about our main focus on this topic, i.e. artificial intelligence in virtual product development. Or: "From the idea to development to productive use by customers"
For us, these steps are inextricably linked because we want to support our customers in their day-to-day business – a little more every day, a little better every day.

"Smart products and smart systems": AI in product development – what we do and how we proceed

AI systems offer various forms of support in digital product development. At a symposium at the University of Kufstein, Hermann Gaigl spoke about why we developed our AI, what experiences we have had with customers and users during the introduction and what our findings are from ongoing productive operation.
The event showed us once again: whether in control engineering, CAE or art – everyone is confronted with the same problems, but the solutions with AI always depend on the use case and look very different.

Contact Person Michael Pretschuh

Michael Pretschuh will show you our solutions in dialogue and address your needs.

  • personal contact person
  • live or via video call
  • clarify all your questions directly

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