The era of the 'thin wrapper' is over. Enterprises are no longer impressed by SaaS products that merely pass a prompt to a public LLM API and return the response. To build truly intelligent products, engineering teams must deeply integrate AI into the core workflows of the application.
Moving Beyond Wrappers
Intelligent products require context. This means building robust data pipelines that continuously feed enterprise data into vector databases for RAG (Retrieval-Augmented Generation). It requires fine-tuning models on domain-specific vocabulary and workflows.
At Cybelinx, we've architected our platform to treat AI as a core primitive. Every product built on Cybelinx has native access to tenant-isolated vector embeddings and orchestrated LLM routing, allowing product teams to focus on the user experience rather than AI infrastructure.