Camilla AI

Qubitech has developed Camilla, an AI analysis engine that orchestrates several of the world's leading AI models within a unified analysis process. Rather than relying on a single model, Camilla can involve multiple independent AI systems in the same problem, allowing them to analyse it in parallel, review each other's conclusions, challenge inaccuracies, and refine their answers through structured discussion.

Users can choose to work with a single AI model, any combination of available models, or let Camilla involve the complete AI panel. This makes it possible to adapt the analysis process to the complexity and requirements of each individual question.



Camilla can combine AI reasoning with local reference material through Retrieval-Augmented Generation (RAG), allowing supplied documentation and relevant previous information to become part of the analysis. For questions involving information that may change over time, participating AI models can also verify facts against current online sources before drawing conclusions.

By combining independent reasoning, cross-model evaluation, relevant reference material, and current information, Camilla reduces dependence on the conclusions of any single AI system and provides a stronger basis for well-informed decisions.

Camilla is designed as an advanced analysis and decision-support platform for a wide range of applications, including software development, technical troubleshooting, information analysis, research, medical information analysis, and business strategy. The architecture is designed to remain provider-independent and extensible, allowing new AI models and capabilities to be integrated as the platform evolves.independent and extensible, allowing new AI models and capabilities to be integrated as the platform evolves.