Intuitive interface for custom-trained AI language models
The Project
Market research companies sit on valuable data, yet access used to be reserved for experts. With AIRA, advise research now has its own AI research assistant with a name, a face and a clear mission. Individually trained language models answer questions about market research data in dialogue.
A clear design and comprehensible interaction patterns have noticeably increased acceptance and usability. Connected headless via an API, the platform runs reliably on a modern Azure infrastructure with CI/CD and monitoring.
The Challenge
AI-powered analyses are powerful, but for most users they remain a black box. The central challenge was to make market research results and individually trained language models so accessible that non-technical users can work with them without training, in a familiar chat format that is clear and easy to follow.
The Solution
AIRA welcomes users as a personal research assistant in a chat. The platform answers questions about target groups, products or studies directly from the individually trained models, complemented by web search, image processing and a code interpreter. Customer-specific information is immediately accessible thanks to clear interaction patterns. Complex AI technology has become a tool for the whole team.
Our Technologies
At the core of the platform is a flexible AI architecture. OpenAI and OpenWebUI make it possible to integrate complex AI logic and individually trained language models efficiently. LiteLLM connects the models through powerful interfaces and keeps the platform model-agnostic, so new or custom models can be added without changing the interface. Data is stored in PostgreSQL.
The platform is hosted in Microsoft Azure with Azure AI services. Modern cloud technologies, automated deployments and comprehensive version management support reliable, secured and scalable operation and keep the solution adaptable in the long term.
