Beyond SaaS: How Service-as-a-Software and Agentic AI Are Powering Labs of the Future

Globally, scientific labs generate unprecedented volumes of data through cloud-based platforms, yet most of this valuable information remains fragmented and buried across different systems. While traditional software-as-a-service (SaaS) solutions have addressed the accessibility problem, labs still struggle with data overload, forcing scientists to spend countless hours searching for information that should be readily available. This whitepaper presents AI-powered SaaS, the next advancement in lab informatics that is transforming how lab workers interact with their data, enabling natural language conversations that deliver contextualized insights exactly when needed.