Generative AI

Taking business processes to a new level with Generative AI

Looking to drive innovation in your company using Generative AI?

As a data & AI partner, we support you in integrating Generative AI efficiently and profitably into your company and your data strategy.

Clients that trust us

Implementation of Generative AI solutions to increase efficiency and optimise processes

Generative AI has the potential to fundamentally transform business models. It automates processes and generates high-quality content at the same time. It can create personalised marketing texts, design visual concepts and develop code that adapts flexibly to new requirements. Its ability to understand language and combine new ideas makes it a versatile tool for product development, customer communication, strategic decision-making and much more.

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Novalytica maximises your potential with Generative AI solutions

Novalytica offers comprehensive expertise in data science and artificial intelligence and supports companies in the design and implementation of Generative AI applications.

We attach great importance to customised imple­men­tation that is tailored to your needs and your company.

With sound advice and support, we guide our customers through the entire process: from analysing requirements, developing and implementing the optimal solution to operating the infrastructure and continuously developing the Generative AI application.

Our Offer

Needs Assessment

We provide you with strategic clarity about the use of Generative AI in your company or in specific functions. Together, we recognise the oppor­tunities and risks of different approaches and develop a sound strategy for specific use cases.

Situation Analysis

We check whether existing data, existing models or external AI services (such as ChatGPT, Copilot, Gemini, etc.) are suitable for your require­ments. If necessary, we develop a data strategy, optimise prompts or integrate synthetic data for model adaptation.

GenAI Concept

Together, we develop the optimal approach for your Generative AI application, be it through the use of an existing model, fine tuning, rule-based logic or a customised model architecture. We take performance, costs, scalability, ethical and compliance aspects into account.

MVP Development

After developing a concept, we work together to identify specific use cases with high potential and develop rapid testable prototypes (MVPs). In this way, we create rapid results and a sound basis for decision-making for further expansion.

Implementation

We integrate the Generative AI solution into your existing software, workflows or digital products. This can be done via APIs, no-code platforms or customised adaptations. If required, fine-tuning is carried out to improve performance and user experience.

Feedback and Handover

We support the introduction with training, documentation and feed­back loops. In doing so, we ensure that the model is continuously im­proved and that ethical, legal and compliance guidelines are adhered to.

AI makes it possible to analyse data and make decisions. Generative AI aims to create new content, such as text, images or music. The model is trained with existing data in such a way that it independently generates an “output” (the desired result or answer) via an “input” in natural language (a prompt or command).

  1. Creation of new content: Generative AI can produce original content such as images, videos and text that is virtually indistinguishable from human-generated material and is used in areas such as entertainment and advertising.
  2. Improving existing AI systems: It increases the efficiency and accuracy of existing AI models by generating synthetic data to train and evaluate other algorithms.
  3. Data analysis: Generative AI makes it possible to analyse complex data in new ways and discover hidden patterns and trends that are difficult or impossible for the human eye to see from raw data alone.
  4. Automation and acceleration of processes: Generative AI helps to automate and speed up tasks and processes, saving companies time and resources.

Generative AI is a form of machine learning in which models not only learn from data, but also generate new data that is similar to the training data. It uses deep learning, in which artificial neural networks mimic the way the human brain works to process data and learn patterns. The process includes:

  1. Collecting data: A data set is created.
  2. Model training: The model learns to recognise patterns and structures.
  3. Generation: The model generates new content based on the learnt patterns.
  4. Refinement: The content is customised.

Over the past two years, various Generative AI models have come onto the market within a short space of time, specialising in different areas of application. They are all based on so-called GPT models, a specific large language model, and enable the machine processing of natural language. Some of them are:

  1. ChatGPT: The best known and one of the first models on the market, it specialises in the processing and generation of natural language.
  2. Microsoft Copilot: Makes work processes more efficient, especially through its deep integration into the Microsoft environment.
  3. Google Gemini: A multimodal AI that can generate text and images and also understands speech.
  4. DeepSeek: Specialises in content analysis and generation, similar to ChatGPT.
  5. MidJourney: An algorithm for creating artworks from text descriptions.
  6. Jasper: An algorithm for generating texts for marketing purposes.
  7. Mubert: AI-generated music that uses algorithms to create new pieces of music.
  8. You.com: An AI-based search engine that delivers personalised and contextual results.

Your contact person

Dr. Massimo Mannino

 

+41 44 508 16 89

Are you looking for a individual and adaptable Generative AI appication for your company?

Our experts will be happy to advise you.


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