Currently, companies using Unified.to for their integration needs often face the complex challenge of managing their AI infrastructure separately - manually configuring cloud resources, handling security compliance, and dealing with the operational overhead of maintaining multiple AI tools and databases alongside their integration layer.
By deploying Unified.to on Shakudo's AI-first operating system, companies can seamlessly combine their integration capabilities with their AI infrastructure in one secure environment that runs in their own cloud.
This means they could easily connect Unified.to's real-time data streams directly to various AI tools, vector databases, and ML models without additional DevOps work - for example, automatically routing CRM data through different LLMs or switching vector databases without disrupting their integration workflows. The combination would allow enterprises to maintain their data privacy and security requirements while significantly reducing the technical complexity and time-to-market for AI-powered features that rely on integrated data from multiple sources, essentially turning Unified.to from just an integration layer into a core component of their AI data pipeline.