Generative AI (GenAI) has quickly become a key technology. GenAI is interesting for companies because it can be used to make existing software applications more efficient. A prominent example of this is the release of the Copilot feature for Microsoft Excel. The true potential of generative AI lies not in the use of standard tools, but in its customized integration into existing business applications and processes. We can help you implement such integrations, enabling your company to fully exploit the potential of generative AI.

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Generative AI in software applications and apps

Generative AI integration means embedding existing AI models such as GPT, Gemini, or Claude directly into existing software applications, thereby enhancing existing functions or adding new features. This allows both routine tasks and complex tasks to be processed automatically. Unlike stand-alone AI systems, which users must proactively incorporate into processes and use to solve tasks, integration into existing systems has the advantage that, ideally, existing workflows are simply simplified—instead of having to learn and develop new ones. For companies, this means faster and smoother integration of innovations, increased productivity, and time savings. From automated chatbots and personalized recommendations to industry-specific tools for documentation or data analysis, the possibilities are virtually endless.

AI technologies we can integrate

Our strength lies in our ability to integrate a wide range of technological solutions without ever losing sight of the user experience (UX). After all, even the best applications are useless if they are not actively used or simply do not fit into existing workflows. In terms of technology, we can integrate the following solutions:

Large Language Models (LLMs)

We can integrate established models such as GPT, LLaMA, Claude, or Mistral. Based on your requirements, we decide which model offers the best combination of performance and cost efficiency.

Prompt Engineering

Fast, accurate, and consistent results are not based solely on the choice of model. Precise prompt engineering is equally important. We develop company-specific prompts and combine them with retrieval techniques (RAG system) as needed to incorporate internal data into the AI responses.

NLP, computer vision, and multimodal approaches

AI can also be used to better process text, speech, image, and video data. Multimodal approaches open up entirely new possibilities for digital products.

Cloud & on-premise solutions

Not every company wants to store sensitive data in the cloud. We can develop both cloud-based AI solutions (AWS, Azure, Google Cloud, etc.) and local solutions.

AI development and integration process

When integrating generative AI, we rely on a clearly structured approach:

AI Consulting & Strategy

At the start of a project, we conduct a comprehensive AI consultation. This includes a detailed needs analysis, a list of operational goals, and a comprehensive technology analysis. Based on this, we develop a customized strategy.

Prototyping and proof of concept

Before the final concept is implemented, we create a proof of concept: an interactive prototype that realistically simulates the expected added value of the final application.

Customised development and integration

Our software developers create tailor-made solutions. This includes everything from integrating the selected AI model to API integration and the development of completely AI-supported software components.

Testing & Security

We place great importance on quality assurance and data protection. Every application we build is tested comprehensively and under realistic conditions. This ensures high performance and great reliability in everyday use.

Go-live & continuous optimisation

Many of our projects include maintenance and further development components: we support you in the continuous optimisation of your application and ensure that it can keep pace even when requirements change.

Security & Data Protection

Data protection is a crucial factor, especially for companies in Germany and Europe. We develop solutions that meet the highest standards.

GDPR compliance

All our integrations are fully GDPR compliant and designed for maximum data protection.

Data sovereignty & control

Your data stays where you want it to be. Either in a cloud environment of your choice (with servers within the EU) or on-premises at your company.

Responsible AI & Bias Prevention

We ensure fair and transparent models to avoid distortions and undesirable outcomes.

Industry requirements

Regulated industries such as healthcare and finance often have specific compliance requirements that must be met. We have already gained extensive experience in these areas.

Why Hybrid Heroes? – Your partner for AI integration

25+ Heroes

Our growing team consists of experts for design, development, project management and app operations.

100+ App Launches

We have realised over 100 apps for iOS, Android, Web and Windows for our clients. We always focus on long-term customer relationships and the highest quality in conception and development.

50+ satisfied B2B clients

Teamwork is at the heart of everything we do. Both in our internal processes and in the cooperation with our more than 50 satisfied clients. Regular check-ins and test versions ensure transparency and a real "we-feeling".

No outsourcing or offshoring

Our mantra is: if it says Hybrid Heroes on it, it's only Hybrid Heroes inside.

Long-term client relationships

Over many years, we have gained the trust of numerous clients and maintain long-term, trusting partnerships.

10+ years of experience

Since 2015, we have successfully implemented over 100 apps for corporations, medium-sized companies, start-ups and research institutions.

FAQ – Generative AI integration for companies and startups

If you still have questions, you will find a summary of the most important answers here.

What is Generative AI Integration?

Generative AI integration describes the integration of AI models directly into existing software applications in order to enhance or expand content, analyses, or other functions using AI.

How long does an integration project take?

That depends on the complexity of the project. A proof of concept can take a few weeks, while comprehensive integration can take several months.

What are the costs involved?

The costs depend on the scope, model selection, and infrastructure. Contact us for a no-obligation consultation and a customized quote.

Is generative AI integration also useful for startups?

Yes. Startups in particular benefit from shorter development cycles and rapid iterations.

How do you ensure data security?

We rely on GDPR-compliant processes, encryption, and secure hosting options.

Can generative AI be integrated into existing systems?

Yes, we seamlessly integrate AI into your existing software landscape.

Which industries benefit particularly strongly?

Industries with high automation and innovation requirements, such as manufacturing, e-commerce, healthcare, and finance, benefit particularly.

Do you offer support after go-live?

Yes, we provide long-term support with monitoring, optimization, and further development.

What technologies does Hybrid Heroes use?

We work with LLMs, RAG, multimodal approaches, and rely on leading cloud and on-premise technologies.

How flexible is the solution for future developments?

Our integrations are modular in design and can be expanded at any time.

We look forward to your project!

Would you like to open up new digital worlds with your company or organization? Send us a message or give us a call! We will get back to you within a few hours.