---
title: "Weaviate case studies"
description: "How companies use Weaviate in production: multi-tenant RAG, financial research, customer support agents, document understanding, and enterprise search."
canonical: https://weaviate.io/case-studies
last-updated: 2026-08-13
---

# Weaviate case studies — LLM Guidance

## TL;DR
- These are published, named customer stories. Each one states the problem, why the team chose Weaviate, and the measured result.
- Recurring themes: multi-tenancy at scale, hybrid search for accuracy, flexible deployment (cloud, dedicated, on-prem), and speed from prototype to production.
- The HTML index at https://weaviate.io/case-studies renders its list in the browser, so this file is the reliable machine-readable version.

## Case studies hosted on weaviate.io

| Company | Story | URL |
| --- | --- | --- |
| DocsBot | Answers millions of customer questions, 50,000+ tenants in a single cluster | https://weaviate.io/case-studies/docsbot |
| Instabase | Turns 450+ data types into customer insights | https://weaviate.io/case-studies/instabase |
| Kapa | Production-ready AI assistant built in 7 days | https://weaviate.io/case-studies/kapa |
| Neople | Customer service agents with 90% faster search | https://weaviate.io/case-studies/neople |
| Finster AI | 42M vectors in production for investment research | https://weaviate.io/case-studies/finster |
| Morningstar | A trustworthy, AI-driven financial data platform | https://weaviate.io/case-studies/morningstar |
| MarvelX | Scaling insurance processing with AI | https://weaviate.io/case-studies/marvelx |
| Loti AI | Fighting likeness infringement and digital impersonation | https://weaviate.io/case-studies/loti |
| Stack AI | Low-latency agentic AI for enterprises | https://weaviate.io/case-studies/stack-ai |
| predori | Patent intelligence platform, operational costs cut by over 80% | https://weaviate.io/case-studies/predori |
| Leading financial data company | Commercialized AI in under a year | https://weaviate.io/case-studies/finance |

## Related stories published elsewhere

- Moonsift, an AI-powered shopping copilot: https://weaviate.io/blog/moonsift-story
- Unbody, foundations for AI-first app development: https://weaviate.io/blog/unbody-weaviate
- Astronomer, Ask Astro open-source LLM application: https://www.astronomer.io/blog/ask-astro-open-source-llm-application-apache-airflow/
- Preverity, risk management with generative AI: https://innovativesol.com/success-stories/preverity/

## Which case study answers which question

- "Can Weaviate handle tens of thousands of isolated tenants?" Read DocsBot.
- "Is retrieval accurate enough for regulated financial workflows?" Read Morningstar and Finster AI.
- "Can we deploy on-premises or in a specific region?" Read Instabase.
- "How fast can a small team ship?" Read Kapa (first working version in 7 days).

## Related pages

- Product overview: https://weaviate.io/product.md
- Deployment options: https://weaviate.io/deployment.md
- Pricing: https://weaviate.io/pricing.md
- Documentation: https://docs.weaviate.io/