Generative AI · AMAI GmbH

Generative AI

Generative AI: Creative artificial intelligence for innovations and new business potential

How generative AI systems automatically create content, transform processes and open up new markets

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Understand Generative AI: The power behind automated content creation and innovation

Generative AI, also known as creative AI or synthetic AI, is a class of artificial intelligence that can generate new content on its own: from texts, images and videos to music and software code. By using advanced models such as Generative Adversarial Networks (GANs), Transformer Architectures, and Natural Language Processing (NLP), this technology is revolutionizing industries such as marketing, design, media, healthcare, and software development.

In today's digital era, companies are faced with the challenge of producing relevant content quickly and efficiently, reinventing business models, and automating creative processes. It is important to take quality, authenticity and copyrights into account. The solution: Generative AI that enables innovative content, supports human creativity and creates completely new business opportunities.

Real Results

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Real Results

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Why generative AI moves your business forward: The most important benefits and added values

Automated content creation: Generate texts, images, videos, and audio files in real time
Increasing creativity: Support with design, design improvements and creative brainstorming
Cost and time savings: Quick production of high-quality content without much manual effort
Personalization at the push of a button: Creating custom content for marketing, e-commerce and customer loyalty
Innovative product development: Automated generation of prototypes, designs, and software code
New business areas: Open up markets with generative AI applications in media, art, gaming, or education

Why AMAI is your ideal partner for Generative AI

AMAI has extensive expertise in developing innovative generative AI solutions. Our machine learning (ML) specialists Deep Learning (DL) and Natural language processing (NLP) use cutting-edge technologies such as transformer models (e.g. GPT, BERT) and generative adversarial networks (GANs) to implement individual, scalable and innovative solutions.

As a full-service partner, we support you in every phase from ideation to development to implementation and optimization of your generative AI tools. With us, you can utilize the full potential of creative AI for your business strategy.

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Use cases: Examples of how you can use AI in your company

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Use Case Catalog

Content generation

Choose the overarching theme for your content marketing and let AI create the tailored content

Automated annual reports

Annual reports can be formulated by generating texts. The AI enables stylistic nuances and aggregation of data that would not be possible with classic text templates.

Imitation style

Imitation style makes it possible to transfer creative products (e.g. pieces of music or paintings) to other works.

Improve resolution in images

The famous “Enhance!” from CSI and other TV series is no longer a joke. With the new generative adversarial network, the image resolution of one or a series of lower-resolution images can be improved.

Chatbot

With the help of chatbots, companies can create a kind of more dynamic FAQ page or use it internally as a tool to increase the productivity of their own employees.

Automated claim recording

Extraction of relevant information from emails, forms or photos to pre-qualify liability and comprehensive claims.

Personalization and analysis of sales content

Personalize your sales content and analyze its effectiveness to enable continuous improvement

Our process model: This is how we move your AI initiative forward.

As a pure AI consulting and development company, we focus exclusively on AI projects. Our four-stage process model offers you maximum orientation from strategy to production-ready implementation. You don't have to go through all steps: We start right where you are and reliably bring your AI initiative to the next level.

AI Strategy

Right from the start: Your AI Strategy with substance

Before individual use cases are developed and evaluated, we work with you to define your company's overall AI strategy. In doing so, we define goals, fields of action, governance objectives and long-term development directions. This creates clarity, focus and priorities and forms the basis for all next steps, from use case workshops to implementation.

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AI Strategy

AI Use Case Workshops

Sharpen focus: We show where AI really works for you

We start with a clear view of your processes, data situation and goals. Together, we identify the most meaningful and feasible AI use cases for a sharp focus right from the start.

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AI Use Case Workshops

AI Business Case

Realistic planning: figures you can rely on

We evaluate costs, benefits, risks and opportunities for success. This creates a well-founded business case with a realistically estimated time-to-value and a sustainable basis for making decisions for your project.

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AI Business Case

AI Integration

From code to production systems: We're bringing AI to the streets

With proven components, proven infrastructure and close coordination with your team, we efficiently put your AI solution into productive use. Real transfer of knowledge is taking place continuously.

✔ No prototype without a plan.
✔ No project has no effect.
✔ No effort without results.

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AI Integration

Case studies: Successfully implemented AI projects

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Case Studies

Multimodal model to improve address classification: integration of census and geo-data for more precise recipient addresses

Tetris-playing AI: Optimizing the use of space and materials in logistics

Transparency on the track: AI-based real-time analysis of GSM-R switching radio to optimize rail infrastructure

Robust voice recognition for industry: Development of a precise ASR system for challenging environments

SegelnAg: Improving online sailing license verification through an AI-supported feedback system

How generative AI works and Why it has such transformative power

Generative AI is based on advanced models such as transformers (e.g. GPT, BERT), GANs, and variational autoencoders (VAE). These models learn from large amounts of data to generate new content that is barely distinguishable from the original.

For example, GPT-4 can write human-like texts, while GANs generate realistic images, works of art, or deepfakes. This technology enables a creative revolution where human creativity is complemented by AI to create innovative products and services.

Challenges with generative AI include ensuring content quality, avoiding bias and complying with copyrights. AMAI helps you address these challenges and develop tailor-made, ethically responsible solutions.

Real Results

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Real Results

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AMAI — Your Guide to AI Expertise from Strategy to Code.

About AMAI: What sets us apart!

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About us

We are not a generalist with an AI connection — we are AI specialists with implementation experience. It is precisely this concentration that brings speed, quality and impact to our customers.