Meilisearch Due Diligence

Run due diligence on Meilisearch: check compliance and get alerts when suppliers change.

France · www.meilisearch.com · 18 vendors

Meili, operating as Meilisearch, is a company that develops an open-source, lightning-fast search engine API designed to provide relevant, typo-tolerant search capabilities for websites and applications. It offers both self-hosted and managed cloud solutions, including AI-powered hybrid search. The platform aims to deliver instant and intuitive discovery experiences for end-users.

Resilience scores

Technology vendors

Services catalogue

2 services in catalogue across 1 category; runs on 18 sub-vendors.

Insights

Last updated 2026-08-16 · revision 3

18 direct vendors, 224 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Compliance

7 in-scope frameworks identified; showing 3.

ePrivacy Directive — Evidence found

Evidence: https://www.meilisearch.com/privacy-policy

GDPR (source) — Evidence found

Evidence: https://www.meilisearch.com/privacy-policy, https://trust.meilisearch.com/, https://www.meilisearch.com

SOC 2 (source) — Evidence found

Evidence: https://trust.meilisearch.com/, https://www.meilisearch.com

Financials

Three-year financials

Financial Resilience Score: 7/10

Meilisearch is a well-funded French open-source infrastructure company with clear product-market fit in the AI-era search/retrieval market. It has raised approximately US$67M in total disclosed venture funding across three rounds, culminating in a US$50M Series B in May 2024 led by Felicis. This provides multi-year runway typical for a Series B SaaS company (often 24–36 months at moderate burn), giving the company significant financial cushion to pursue growth initiatives. The open-source flywheel with 57k+ GitHub stars and 20,000+ teams using the product reduces paid customer acquisition costs, while a capital-efficient culture (small team, remote-first, 4-day workweek) keeps the fixed cost base lower than US-based competitors. However, detailed financial statements (revenue, EBIT, equity) are not publicly available as the SAS has kept confidential its annual account filings at the French registry, and no press release provides ARR or profitability figures. The company faces intense competition from Algolia, Elastic, Typesense, Weaviate, Pinecone, Qdrant, and hyperscaler-native offerings (OpenSearch, Azure AI Search, Vertex AI Search). Open-source monetization risk exists since users can self-host free of charge, making conversion to Cloud/Enterprise the main revenue lever. The pace of funding rounds (Seed → A → B in ~3.5 years with a step-up from US$15M to US$50M) is consistent with strong ARR growth, typically 2–3x/year at this stage for infrastructure SaaS companies.

Key strengths: Strong VC backing with US$50M Series B in May 2024 providing multi-year runway, Open-source flywheel with 57k+ GitHub stars and 20,000+ teams reducing CAC, Marquee customer references including Hugging Face and Louis Vuitton, Tailwind from GenAI/RAG demand for AI retrieval infrastructure, Capital-efficient culture: remote-first, 4-day workweek, lower fixed cost base, Total disclosed venture funding ~US$67M+ across Seed, Series A, and Series B

Risk factors: Intense competition from Algolia, Elastic, Typesense, Weaviate, Pinecone, Qdrant, and hyperscalers, Open-source monetisation risk: users can self-host free of charge, Private-company opacity limits external ability to assess burn, gross margin, ARR growth, FX exposure: costs largely in EUR, revenue increasingly in USD, Concentration in fast-evolving AI stack where large model providers may bundle retrieval features

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