Appen vs Weaviate

By valuation, Appen is the larger company at $341M versus $200M — a 1.7x difference. Size can also be measured by team: Appen employs 1000+ people while Weaviate has 80 employees.

Weaviate has raised $67.5M in disclosed funding across 3 known rounds. Appen's funding history is not publicly available.

Weaviate leads with an Awaira Score of 72/100, while Appen sits at 55/100. That 17-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Appen was founded by Mark Brayan in 1996. Weaviate was founded by Bob van Luijt in 2019. Visit each company's profile on Awaira for a full founder biography.

Appen: Appen is an AI training data collection and annotation company that provides human-annotated datasets, relevance judgements, and content quality evaluation services used to train and evaluate AI models for search engines, voice assistants, autonomous vehicles, and generative AI systems. The Sydney company operates a global crowd workforce of over one million contractors who perform data annotation, transcription, translation, and content evaluation tasks under managed quality assurance processes.\n\nPublicly listed on the Australian Securities Exchange under ticker APX, Appen has historically generated revenue from long-term data services contracts with major US technology companies including Google, Meta, Amazon, and Microsoft. The company has faced significant revenue pressure as its largest clients have reduced external data annotation spending in favour of internal annotator teams and synthetic data generation, resulting in revenue declines and strategic restructuring since 2022.\n\nAppen competes in the AI data services market against Scale AI, Surge AI, and DataAnnotation, as well as crowdsourcing platforms including Amazon Mechanical Turk. The company faces structural challenges as generative AI and synthetic data approaches reduce demand for the human-annotated data that has historically been its primary product. Appen has been pursuing strategic alternatives including diversification into AI deployment services and government data contracts to offset declining technology company data annotation revenue, reflecting the broader market disruption facing traditional human annotation businesses. Weaviate: Weaviate is a Netherlands-based vector database company founded in 2019 that enables organizations to build AI applications using vector search and semantic search capabilities. The platform stores, indexes, and searches unstructured data—including text, images, and audio—by converting them into vector embeddings, making it suitable for large language model applications and retrieval-augmented generation (RAG) systems. The core product is an open-source vector database with both community and enterprise versions. Weaviate allows developers to perform similarity searches and build knowledge graphs with semantic understanding. The platform integrates with machine learning frameworks and supports various embedding models, enabling organizations to power AI applications without extensive machine learning infrastructure expertise. Founded during the emergence of modern AI applications, Weaviate operates in the expanding vector database category competing with Pinecone, Milvus, and Qdrant. The company has raised $68 million across funding rounds with a valuation of $200 million as of its Series B stage. Weaviate serves use cases across e-commerce recommendation systems, content discovery, semantic search, and enterprise search applications. The company has gained adoption among developers and organizations building AI-powered products. Its open-source approach provides both community engagement and enterprise monetization pathways. The vector database market has experienced significant growth as organizations increasingly adopt large language models requiring efficient vector storage and retrieval infrastructure. Weaviate combines open-source accessibility with enterprise vector database capabilities positioned to capture growth in RAG and semantic search application development.

Appen got there first, launching in 1996 — that's 23 years of extra runway. Weaviate didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Appen has about 1000+ employees; Weaviate has about 80. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Appen and Weaviate compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.