The Performance You Need for Enterprise AI

Google has been around since the late 1990s, but the ability to search company data files and resources is a relatively new development for many organizations, with some adopting Glean this year. Consumer AI experiences are straightforward interactions like asking questions and getting answers, whereas enterprise AI use cases are ambitious and large in scale, requiring serious performance from underlying data infrastructure. The most important decision organizations will make when starting with enterprise AI is choosing a performant enough data layer to power it, as many struggle with the fragmented and scattered nature of their current data landscape. SingleStore offers a unified, highly performant data layer that supports all workloads, data types, and consistently delivers context for AI systems, addressing issues like slower performance, security gaps, and hallucinations.

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