If your AI pilot "works," it might still be failing

Many companies struggle with AI implementation, not due to the complexity of AI itself but due to inadequate production workflows, leading to a high failure rate of corporate generative AI pilots. Upsun aims to address this by focusing on robust production environments, flexible runtimes, and AI-augmented development workflows. They emphasize the importance of treating AI like any other production capability, with the necessary infrastructure for testing, governance, and iteration. Upsun supports the integration of vector databases for AI applications, offers a multi-runtime composable image for diverse technology stacks, and utilizes AI internally to streamline configuration and deployment processes. Their approach is grounded in making AI features reliable and repeatable, helping companies transition from demos to production-ready solutions. By focusing on execution rather than novelty, Upsun seeks to help teams achieve meaningful AI outcomes.