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Aligned AI utilizes the Wikimedia Enterprise Snapshot API to download and host comprehensive datasets from Wikimedia projects directly on their devices. This allows people to use Aligned’s offline search tool while still finding relevant Wikipedia articles to read and learn from.
Firecrawl has partnered with Wikimedia Enterprise to support the millions of monthly requests their users make to retrieve Wikimedia project data. With Firecrawl aiming to become the main infrastructure layer between web data and AI, getting Wikimedia data in any format for agentic workflows becomes as easy as a single request.
Ecosia, the search engine that uses 100% of its profits for the planet, provides a search experience with a positive environmental impact. Ecosia is conscious about its data sources: it aims to provide search functionality that provides clear and truthful results quickly, with links to sources and correct attribution. That’s why Ecosia partnered with Wikimedia
Mistral AI and Wikimedia Enterprise are excited to announce the start of a three-year partnership. Data from Wikipedia and other Wikimedia projects is indispensable as a source of knowledge for Mistral’s AI projects, such as its AI assistant Le Chat.
Wikipedia celebrates 25 years of human-created knowledge on 15 January 2026. To mark this milestone, Wikimedia Enterprise is publicly announcing partnerships with Amazon, Meta, Microsoft, Mistral AI, and Perplexity. Learn how our infrastructure delivers human-governed knowledge at scale.
Reef Media is building a comprehensive platform to help users analyze media for its strengths and weaknesses, creating a more informed public. One of the key datasets underpinning their technical strategy is a robust, verifiable data source: Wikimedia data extracted through the Wikimedia Enterprise Snapshot API.
Nomic AI used Wikimedia Enterprise’s Structured Contents dataset, via Hugging Face, to build the first full open-source vectorization of multilingual Wikipedia. Their work highlights how structured open data can accelerate AI research, improve model performance, and enable new forms of data visualization.
Wikimedia Enterprise is partnering with ProRata.ai to power its new search engine, Gist.ai, with reliable, human-curated Wikimedia content. The collaboration supports a sustainable content ecosystem through transparent attribution and API-driven innovation—ensuring creators are credited and content remains discoverable in the AI era.
Wikimedia Enterprise and Pleias are partnering to drive ethical AI innovation with high-quality, structured data. By integrating Wikimedia’s verifiable datasets, Pleias enhances its AI models while ensuring openness, auditability, and multilingual accuracy.
A Partnership for Sustainability of Knowledge and the Planet – Wikimedia Enterprise has announced an exciting new partnership with Ecosia search engine.