We help you integrate OpenAI, Claude, or open-source models into your apps, fine-tuned for your use case and data privacy needs.
At Vinta, we specialize in turning complex data into actionable intelligence by integrating large language models (LLMs) directly into your product. Whether you're working with OpenAI, Claude, or fine-tuned open-source models, we help you unlock insights from your existing datasets—documentation, support tickets, internal tools, or any large corpus of unstructured content. LLMs enable your product to “understand” and reason over vast amounts of information, offering users a faster, more intuitive way to find answers, generate content, or automate decisions. This is where custom LLM integration shines: making your proprietary data useful in real time.
Our deep experience with Python makes us natural partners for LLM tooling like LangChain. We’ve used it to build features such as contextual assistants and memory-aware agents—solutions that can tap into large datasets without moving everything into a structured database. In projects like our Django AI Assistant and GPTBundle, we’ve demonstrated how LLMs can add intelligence to data-rich environments quickly and safely.
What sets our approach apart is our focus on production-readiness. We build AI features that are observable, maintainable, and aligned with your product’s long-term strategy. By embedding LLMs directly into your product workflows, we help you go beyond experimentation and unlock actual value from the data you already have.