Free Consultation
Get a free consultation with Fingoweb CEO - Slawomir Wilusz and discuss your app idea! We will advise you on issues such as technology selection, budget optimization, building & developing MVP or final product!
Book your consultation
Choose an available time slot and schedule a 30 min free consultation with Slawomir Wilusz
Calendly right-arrow
Leave a phone number, we'll call you!
Or leave an e-mail, we'll write back!
+48 660 901 080

Ready to get started?

Whether you're a corporation looking to expand your project team or the founder of a startup, we'll provide you with a team of experts and specialists tailored to your needs and guide you through technological advances.

Click or drag files to this area to upload. You can upload up to 5 files.
Supported formats: .pdf, .doc, .docx, .rtf, .jpg, .jpeg, .png, max size 5 MB
or contact us directly at

Trusted by many

Here at Fingoweb, we offer the service of building dedicated AI systems that are customized to the specific needs and requirements of our clients.

Using advanced technologies such as RAG (Retrieval-Augmented Generation) from LangChain and Pinecone vector databases, we provide AI solutions that not only increase operational efficiency, but also open up new business opportunities.

Technologies used in development of dedicated AI systems

RAG LangChain

RAG is a technique that combines response generation with the information retrieval process to create more accurate and contextually consistent responses in AI systems. The use of LangChain allows RAG to be integrated with a variety of data sources and external systems, significantly increasing the adaptability and scalability of the generated answers. This enables customers to achieve more sophisticated query and response systems that are configured to the specific requirements of their industry.

Pinecone Vector Databases

Pinecone is an advanced vector database management platform that is ideal for applications requiring fast and efficient processing of large amounts of data in vector form, such as images, text or sensory data. It enables efficient management and retrieval of data in the context of AI systems, which is crucial for applications such as content personalization, product recommendations or semantic analysis.

Benefits of building dedicated AI systems

  • High specialization and personalization: Building custom AI systems allows for deep personalization of functionality and integration with a client’s existing systems, resulting in greater efficiency and effectiveness in solving specific business problems.
  • Scalability and flexibility: Dedicated AI systems, built using technologies such as RAG LangChain and Pinecone, are extremely scalable and can be customized to meet a company’s growing needs, allowing for long-term adaptation to changing market conditions.
  • Optimize operations and decisions: These systems enable automation and optimization of a wide range of business processes, from automated natural language processing to advanced data analysis, helping to make better decisions based on more accurate and timely data.

At Fingoweb, we ensure that each AI system is designed and implemented with the utmost precision, providing customers with solutions that not only meet their current needs, but are also future-ready for the challenges ahead. Our dedicated AI systems open up new opportunities for companies to use advanced technologies to achieve business and technological goals.