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From concept to realisation

Generative AI

We support you with the implementation of GenAI in your company - step by step
Generative Artificial Intelligence (GenAI) has quickly established itself in the business world. Companies of all sizes and from all industries are actively using this technology or examining its potential. Only those who take advantage of the technological change will remain competitive in the long term.
Our practical experience - your advantage
Read more about how we have successfully implemented Generative AI for our customers.
To our success stories

15

projects

Why Generative AI offers added value for your business

GenAI now makes it possible to solve a large number of innovative use cases in an economically advantageous way. Whether improved research, creative content generation or automated code migration - the areas of application are diverse and can be found in all areas and functions of a company.

Many use cases can be implemented faster and easier than ever before. What was previously associated with a great deal of effort can now be easily realised and creates immediate business benefits.

Why?

Because the technology offers special advantages:

  • In most cases, no more complex training of models
    In contrast to previous AI approaches, GenAI models already cover a wide range of use cases through their pre-training.

  • Simple integration into IT systems

    The availability of GenAI as a programming interface (API) significantly reduces the complexity of integration into existing IT systems.

  • Faster feasibility analyses

    Accelerated prototyping allows use cases to be evaluated more efficiently and implemented more quickly.

However, in order to maximise these benefits, companies need to understand the technology, find suitable use cases, create the technical requirements and train employees accordingly.



With our experience, we are happy to support you in successfully overcoming these challenges. Contact us and we will find a solution together.

On the road to success

Comprehensive support for your Generative AI project

Our experts are at your side at every step of your Generative AI project. From brainstorming, planning and development to implementation - we offer comprehensive support throughout the entire life cycle of your project.
You can count on our expertise for the entire process as well as for specific sub-areas.
Envisioning, Ideation & PoC Planning

We support you from the introduction to the planning and evaluation of proof of concepts in order to successfully launch your GenAI projects.

  • Introduction to classic AI and GenAI
  • Development and selection of relevant use cases
  • Workshops for planning and evaluating proof of concepts
Framework and hosting solutions

We use scalable frameworks and hosting solutions to efficiently operationalise your GenAI projects.

  • Frameworks (LangChain, Promptflow etc.)
  • Validation and performance optimisation
  • APIs & self-hosted solutions
  • Scalable use case frameworks
Provider & Model Selection

Our experts will help you select and customise the best models for your specific requirements.

  • Various data types (text, image, etc.)
  • Hyperscaler (OpenAI, Azure, Hugging Face etc.)
  • Prompt engineering and fine-tuning
Data management and security

We ensure secure and efficient management of your data sources and guarantee the confidentiality of your data.

  • Connection to company data sources
  • Use of vector databases
  • Creation and integration of embeddings
  • Data security
User interfaces and applications
We ensure that your Generative AI models are seamlessly integrated with existing data sources and systems. This allows you to benefit optimally from the generated content.

We develop intuitive user interfaces and applications that enable seamless interaction with your GenAI solution.

  • Design of intuitive user interfaces (UI/UX)
  • Development of interactive chatbot interfaces
  • Implementation of functions for simple user interaction, customised to the specific user process
Benefit from our experience

Your partner for successful projects

As your partner for successful projects, we offer you customised solutions to optimally integrate Generative AI into your company's business processes. Our strength lies in the combination of extensive experience, in-depth expertise and a qualified team of experts.

What specifically speaks in favour of HMS?

Our practical experience
Our expertise
Our experts

Our practical experience

> 15

Ongoing GenAI projects

> 1000

Days of project experience
12
Erfolgreich umgesetzte GenAI-Projekte

We have already been able to successfully implement a wide variety of GenAI projects thanks to long-standing, trusting customer relationships. This has given us a comprehensive understanding of the challenges and opportunities of this technology. This know-how provides a sound basis for the implementation of further use cases - your use cases!

Our strength lies in the development of customized solutions that are precisely tailored to your needs.

We rely not only on technical know-how, but also on close cooperation with our customers to ensure that our solutions offer concrete added value for your company.

From brainstorming to the successful implementation of your GenAI project, we are at your side.

Our success stories

Our expertise

Successful GenAI projects require more than just the implementation of AI models. Customised model adaptation, seamless integration, effective data management, data protection and compliance are crucial.


Core aspects of our approach:

  • Customisation
    We customise generative AI models precisely to your individual needs and ensure maximum efficiency and quality.
  • Integration and operationalization
    We integrate GenAI models seamlessly into your business processes and offer customized solutions. We also build your AI system to be modular, scalable and reliable. A seamless transition to operations is guaranteed.
  • Data management
    Our strength lies in handling large amounts of data. We design robust data architectures and implement efficient processing mechanisms for powerful GenAI models.
  • Data protection and compliance
    We ensure that your GenAI projects comply with data protection regulations and protect the integrity of your data.

Our experts

In GenAI projects, co-operation between the key players is crucial for success. From our experience in various projects, we know that every project requires a well-coordinated team with the following roles:

  • AI Architects
  • AI/MLOps Engineers
  • Data Scientists
  • Frontend Developer

At HMS, we have experts in all of the above roles, which enables us to accompany the entire project from conception to implementation or to supplement the customer's team in a targeted manner. In this way, we ensure that every phase of the GenAI project is covered at the highest level and guarantees a smooth process.

At HMS, we understand the roles and their most important tasks within a GenAI project in detail:

AI Architects understand the customer's challenges and translate them into an AI system architecture.

Main tasks in the project:

  • Understanding the use case and the domain
    Analyse the specific use case and understand the requirements and goals of the project. As well as communicating with the customer.
  • Model and method selection
    Select suitable models and methods and align them with the specific requirements of the project.
  • System architecture and design
    Design the architecture of the AI system. Selection of components, frameworks, technologies and their interaction. Ensuring scalability, expandability and robustness. Integration into existing systems and processes, if available.
  • Data integration and procurement
    Procurement and evaluation of data, ensuring data quality and planning data integration

AI/MLOps Engineers are responsible for the robustness and reliability of Gen AI-powered applications.

Main tasks in the project:

  • Implementation architecture
    Implementation of the scalable and reliable cloud infrastructure.
  • Data engineering
    Ensuring clean, consistent and sufficient data.
  • API management
    Efficiently manage APIs, monitor performance and ensure security.
  • MLOps / LLMOps
    Manage the entire lifecycle of AI models and their maintainability.

Data scientists customise the basic models and adapt them according to the specific requirements of the use case.

Main tasks in the project:

  • Understanding the use case
    Analyse the specific use case and understand the requirements and objectives of the project.
  • Model selection
    Select suitable models and adapt them to the specific requirements of the project.
  • Prompt engineering
    Create appropriate prompts for the Generative AI models.
  • Validation
    Check the performance of the developed models.

Frontend developers are responsible for creating user-friendly interfaces and frontends for applications with GenAI.

Main tasks in the project:

  • User experience
    Design of an intuitive user interface for interaction with the Generative AI models.
  • User friendliness
    Ensure that the applications are easy to use.
  • Design
    Aesthetic design of the user interface.
Learning from practice

Our success stories

Find out more about the Generative AI solutions that we have developed in various customer projects. The examples show how our customised solutions make companies more successful and bring digital transformation to life.

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Read Case Study

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

  • Faster classification, evaluation, and structuring of data
  • Expansion of the data foundation
  • Informed analysis and decision-making
Read Case Study

Large-Scale RAG System for Efficient Information Retrieval

Chemicals

Our system allows researchers to accurately search a vast amount of internal research data using natural language, enabling them to quickly obtain the necessary information.

Benefits:

  • Enhanced search quality
  • Optimal user guidance
  • Increased user trust
Read Case Study

Automated Competitor Analysis for Strategic Decisions

Healthcare

Our tool automates the collection and analysis of competitor information using large language models, enabling companies to respond more accurately to market changes.

Benefits:

  • Time savings through automation
  • Data-driven decision-making
  • Fast, interactive data analysis

Read Case Study

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Read Case Study

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

  • Faster classification, evaluation, and structuring of data
  • Expansion of the data foundation
  • Informed analysis and decision-making
Read Case Study

Large-Scale RAG System for Efficient Information Retrieval

Chemicals

Our system allows researchers to accurately search a vast amount of internal research data using natural language, enabling them to quickly obtain the necessary information.

Benefits:

  • Enhanced search quality
  • Optimal user guidance
  • Increased user trust
Read Case Study

Automated Competitor Analysis for Strategic Decisions

Healthcare

Our tool automates the collection and analysis of competitor information using large language models, enabling companies to respond more accurately to market changes.

Benefits:

  • Time savings through automation
  • Data-driven decision-making
  • Fast, interactive data analysis

Read Case Study
Christoph Bergen
Project Manager & Senior Data Scientist

Would you like to find out more about generative AI?

We are happy to provide answers and support you with your project.
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