Based in Poland, Fermi AI is a start-up tech company and AI software house specializing in delivering customized solutions for advanced artificial intelligence (AI) and machine learning (ML).
Partnered with Sarmatia Ventures and Silesian University of Technology, the AI software house aims to transform data into valuable insights that drive innovation and enhance the client's business outcomes.
Fermi AI offers two types of software solutions (RAG Method and AI Assistants) to clients looking to improve the quality of their data and make it easier to understand, alter, and scale based on client needs.
1. Retrieval-Augmented Generation (RAG):
The RAG methodology delivers highly accurate and context-aware AI solutions by combining large language models (LLMs) with proprietary data. By integrating the client’s datasets with advanced generative models (GPT-4o, LLAMA3, Mixtral), Fermi AI enhances the relevance and precision of AI outputs.
Key Features:
- Data Integration: Customers can seamlessly incorporate their proprietary data with LLMs to provide context-specific answers and solutions.
- Enhanced Accuracy: Artificial Intelligence utilizes retrieval mechanisms to fetch relevant information, which generative models then use to produce precise and relevant outputs.
- Customizability: The AI algorithm analyses customer data and compares it to industry requirements and needs to ensure tailor-made solutions that are relevant to their business and are actionable.
- Scalability: Easily scalable to handle large volumes of data and complex queries, suitable for enterprises of all sizes.
Benefits:
- Improved Decision-Making: Provides accurate, context-aware information that aids in better decision-making processes.
- Efficiency: Reduces time spent searching for information, increasing operational efficiency.
- Adaptability: Quickly adapts to new data inputs, ensuring the AI remains up-to-date and relevant.
2. Intelligent AI Agents:
Intelligent AI agents are designed to perform specific tasks autonomously, leveraging advanced artificial intelligence and ML techniques. These AI agents can handle a variety of functions, from customer services to data analysis, enhancing productivity and service quality.
Key Features:
- Autonomous Operation: AI Agents are capable of performing tasks without human intervention. This reduces workload and frees up human resources for more strategic activities.
- Contextual Understanding: Uses natural language processing (NLP) and ML to understand and respond to queries in a contextually appropriate manner.
- Continuous Learning: Thanks to machine learning, AI Agents continuously learn from interactions and data, improving over time to provide more accurate and efficient services.
- Integration: Easily integrates with existing systems and platforms, ensuring seamless operation within the business infrastructure.
Benefits:
- Cost Savings: Having a person perform repetitive tasks and processes wastes time and money. Artificial intelligence reduces operational costs by automating these tasks.
- Enhanced Customer Experience: Provides quick and accurate responses, improving customer satisfaction and engagement. Since the algorithms have been trained on a large data set, they have vast experience and can provide contextual answers.
- Scalability: Scales to meet the growing demands of the business, ensuring consistent performance regardless of volume.
