GENERATIVE AI
We develop and train neural network models to provide computer vision and natural language processing solutions. We leverage LLM models for RAG and automation agents.
Prepare your organization for the new technological paradigms
Shape the future with generative AI: imagination without limits
We develop AI models
We leverage open-source LLMs such as Llama, LFM Liquid, Falcon, Dolly, Qwen, and dozens of other models, specifically tailored for conversational solutions, RAG-based systems, and/or support in generating foundational source code. We provide embedding and re-ranking solutions to optimize conversational solutions tailored to each company’s specific domain knowledge. And we build AI automation agents for a variety of purposes.
Managing large
datasets
We manage and adapt large knowledge repositories of various types, including databases, document libraries, procedure libraries, and knowledge bases. Whether structured or unstructured, we provide high-quality data to generate training datasets for Generative AI. We make local and/or offline (Edge) RAG models available.
Local AI servers based on GPUs
We integrate our own AI server hardware with high-performance GPUs to deliver offline on-premises or edge AI solutions, enabling the development of solutions based on CUDA or ROCm cores for AI-powered image generation and computer vision applications, as well as for the deployment and fine-tuning of various types of large language models (LLMs), offline RAG models, and on-premises assistants.
Governance Models
Head of AI
With our Genesis Governance Models, we provide a methodology and set of practices that ensure the responsible governance of artificial intelligence applications. This encompasses multiple dimensions, ranging from ethical considerations and bias to security models and continuous validation through the observability of human-machine interactions.
