“We support companies in setting up AI infrastructures that automate business processes through seamless collaboration between different AI models while ensuring the highest data protection and compliance standards.”
In today’s business world, business process automation is crucial. Our chat interface solution enables seamless collaboration between different AI models, increasing the efficiency of your workflows. We set up an Artificial Intelligence Compliance Infrastructure (AICI) in your company that ensures the highest data protection and compliance standards. This infrastructure supports various AI models such as speech processing, image and video recognition, predictions, decision support and automated customer service.
How do AI models communicate with each other?
Our chat interface solution enables seamless communication between different AI models. To illustrate this process,
here is an example: creating a 3D object.
The user enters in the chat interface: “I need a 3D object of a mouse.” The project manager AI model, which was trained with the company data, processes the request and understands the context. The project manager AI model then forwards the request to a text-to-image AI model, which creates an image of the mouse. The generated image is received by the project manager AI model and passed on to an image-to-3D AI model, which creates a 3D object of the mouse. The 3D object is passed from the project manager AI model to the main model (e.g. GPT-4) and presented to the user in the chat interface. If queries arise during the generation of the 3D graphic, the project manager AI model goes back to the user to collect certain parameters or feedback for the image-to-3D AI model. These queries are processed and the 3D graphic is adjusted accordingly.
User
User Request: "I need a 3D object of a mouse."
Project Leader AI
Project Leader AI processes the request and understands the context.
Text-to-Image AI
Text-to-Image AI generates an image of the mouse.
Image-to-3D AI
Image-to-3D AI creates a 3D object of the mouse.
Main Model (GPT-4)
Main Model (GPT-4) presents the 3D object to the user.
Modular structure of AI models
The modular structure of various AI models is the new way to efficiently accelerate and automate processes. This structure enables companies to use their own, specially trained AI models within their infrastructure and to flexibly combine them with commercially available AI models. This creates a powerful and adaptable AI environment that is optimally tailored to the individual needs of the company.
This modular approach enables companies to significantly accelerate and automate their business processes. The combination of self-trained and commercially available AI models ensures seamless integration and collaboration, which increases the efficiency and flexibility of workflows. In addition, control over the data and processes remains entirely within the company, which increases data security.
As a service provider, we support your IT department in setting up and operating an Artificial Intelligence Compliance Infrastructure (AICI), which ensures that all AI models used meet the highest standards in terms of data protection and compliance. Various AI models can be hosted in an AICI-compliant infrastructure, including speech processing models, image and video recognition models, predictive models, decision support systems and automated customer service solutions. Here is a list of the different AI models that can be hosted in an AICI-compliant infrastructure:
AI Model Catalog
Text to Text
GPT4o
An advanced AI model from OpenAI that can understand and generate human language. It is used for a variety of tasks such as word processing, programming, and question answering. Compared to previous versions, GPT-4 offers improved reasoning capabilities and a deeper understanding of context. It is more attuned to human values and generates less harmful or biased content.
Google Gemini
The Gemini model is an advanced AI model from Google DeepMind that was developed as a competitor to OpenAI’s GPT-4. It combines the strengths of language models with skills from robot control to better understand and perform complex tasks. Gemini is characterized by its ability to process multimodal inputs such as text, images, and other data formats and provides precise, contextual responses. It is designed to be versatile and offer high utility in both research and commercial applications.
Meta LLaMA
Meta LLaMA (Large Language Model Meta AI) is an open-source language model developed by Meta (formerly Facebook). It is one of the advanced AI models used for natural language processing and generation, similar to GPT models. LLaMA is specifically designed to be more efficient and resource-efficient, making it particularly suitable for use in research and applications that require high performance and lower computational effort. It is designed to be flexible and easily adaptable for various language-related tasks.
Text to Image
DALL-E
An AI model from OpenAI that is able to generate impressive and detailed images based on text input. It combines advanced natural language processing with image synthesis and can visually translate almost any described scene, be it realistic or imaginative. DALL-E uses neural networks to create creative and often unique works of art from text descriptions. It finds application in areas such as design, art and creative content creation.
Midjourney
An AI model that specializes in generating high-quality, artistic images based on text input. It offers users the ability to generate creative and often imaginative visual content that is characterized by its unique style. Midjourney is primarily used by artists, designers and creatives to quickly realize visual concepts and ideas. The model is known for its impressive image quality and ability to generate detailed and atmospheric works of art.
Flux1
The Flux1 image generation model is a special AI model designed to generate stunning images based on complex algorithms and machine learning. It uses neural networks to create visual content that is both artistically and technically high quality. Flux1 is characterized by its ability to generate realistic, creative and detailed images from simple inputs or sketches and is used in areas such as design, art and media production. It is particularly designed to deliver versatile and customizable image outputs that meet the individual needs of users.
Text to Video
Sora
The Sora AI model for text-to-video is an innovative technology that can convert text input into animated videos. It combines advanced language processing with video generation algorithms to create moving images based on the scenes described. Sora enables the creation of short clips or longer animations that are ideal for marketing, education and creative media. The model is characterized by its ability to translate natural narratives into visually appealing videos, offering a new dimension in content creation.
CogVideoX
An advanced AI model specifically designed for text-to-video generation. It enables the creation of videos based on text inputs by using neural networks and machine learning to animate and render visual scenes. The model can generate realistic and creative video clips from detailed text descriptions that can be used for applications in advertising, education, social media, and more. CogVideoX is characterized by its high quality and adaptability, making it a powerful tool for creating dynamic visual content.
Zeroscope
Is a text-to-video AI model designed to generate short video clips from simple text inputs. It uses powerful machine learning algorithms to translate text descriptions into moving images that can be both realistic and creative. Zeroscope is particularly suitable for creative media, advertising and rapid prototyping as it is designed for the efficient production of visual content. With its ability to create precise and dynamic videos, it offers an innovative solution for automated video generation.
Image to 3D
TripoSR
The TripoSR model for image-to-3D is an AI technology that can generate three-dimensional models from 2D images. It uses advanced machine learning algorithms to reconstruct depth information and geometric structures from flat images, creating realistic 3D models. TripoSR is particularly useful in areas such as architecture, design, virtual reality and gaming, where fast and precise 3D visualizations are required. The model is characterized by its high accuracy and ability to generate complex 3D structures from simple image data.
Image to Text
Florence
Florence is an AI model from Microsoft specifically designed for image-to-text applications that automatically convert images into descriptive text. It combines advanced computer vision and natural language processing to accurately analyze images and create understandable descriptions. Florence can capture detailed image content, such as objects, scenes, and actions, and describe them in natural language. The model is used in areas such as accessibility, automated image captioning, and visual search to interpret image content efficiently and accurately.
Moondream
AI model for image-to-text is a specialized technology that automatically converts images into descriptive text. It uses machine learning and advanced computer vision to analyze visual content and translate it into creative, contextual text. Moondream is particularly suitable for applications where creative or narrative image descriptions are required, such as in art, media production or interactive storytelling. The model is designed to not only capture the facts of an image, but also provide an evocative and artistic description that brings the content to life.
Text to Audio
Stable Audio
An AI model specifically designed to convert text input into audio. It uses advanced machine learning techniques to generate realistic and high-quality audio files based on text descriptions, such as music, sound effects or speech synthesis. Stable Audio enables precise control of the audio data generated and is particularly useful in creative areas such as music production, gaming, film and interactive applications. The model is known for its ability to generate diverse and dynamic sounds that are precisely tailored to the desired text input.
Speach to Text
Whisper
Whisper is an advanced AI model from OpenAI specifically designed for automatic speech recognition (ASR). It can convert speech input into text, understand different languages, and handle complex acoustic environments. Whisper is designed to accurately transcribe natural speech from audio data, including dialects and background noise, making it ideal for applications such as transcription, translation, subtitling, and voice control. The model is known for its high accuracy and robustness, even with demanding audio recordings.
Text to Speach
MeloTTS
Is an AI model for text-to-speech (TTS) designed to generate natural-sounding speech from text input. It combines speech synthesis with musical elements to make speech melody, emphasis and intonation particularly natural and expressive. MeloTTS is ideal for applications where lively and emotionally engaging speech output is required, such as in audiobooks, virtual assistants, games and interactive media. The model is known for its ability to faithfully mimic human speech nuances and provide a convincing audible experience.
