The client specializes in investment fund analysis. The software processes various document formats and generates custom financial reports, tables, and diagrams for analysts. The main challenge was analyzing 100+ page documents while ensuring consistent results across prompts without using Retrieval-Augmented Generation (RAG). We fine-tuned the model for long-document comprehension, optimized prompts, and developed parsing techniques to maintain context.

One of America's leading multi-format retailers. During the refinement process of Target's internal production chatbot, Innova's team unified the applied solutions by refactoring the existing codebase and introducing standardized reusable components. This approach enabled us to optimize the implementation costs for new scenarios and enhance the reliability of the existing system.