# How Stack AI uses Weaviate

As published on [weaviate.io](https://weaviate.io/case-studies/stack-ai). Captured by usedby on 2026-10-08.

- Company: [Stack AI](https://www.usedby.ai/companies/stack-ai.md)
- Tool: [Weaviate](https://www.usedby.ai/tools/weaviate.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)

## What the story says

Stack AI uses Weaviate as the vector database behind its platform for building and managing enterprise AI agents. It relies on hybrid search, metadata querying, multi-tenancy and flexible secure deployment to serve enterprise customers with strict compliance needs.

Summary written by usedby from the source page, in English. The figures are those of Weaviate and Stack AI, not ours.

> Compared to alternative solutions like Pinecone, Stack AI achieved substantial cost savings in the tens of thousands of dollars while accessing a more robust feature set and maintaining high performance.

> The biggest benefit of using Weaviate isn't just the technology – it's the team behind it. The level of support we receive through their engineering team and support channels has been company-saving help.
>
> Antoni Rosinol, Co-founder of Stack AI

Source: [weaviate.io](https://weaviate.io/case-studies/stack-ai), captured 2026-10-08.

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the passage quoted above is copied word for word from the page, near the name of Stack AI.
- Checked: Stack AI uses Weaviate. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/stack-ai-weaviate · How we check: https://www.usedby.ai/methodology