Karya AI vs Weaviate

Weaviate has a disclosed valuation of $200M, while Karya AI's valuation is not publicly available, making a direct size comparison difficult. Weaviate employs 80 people.

Weaviate has raised more in total funding at $67.5M, compared to Karya AI's $3M — a gap of $64.5M. Combined, the two companies have completed 4 known funding rounds.

Weaviate leads with an Awaira Score of 72/100, while Karya AI sits at 40/100. That 32-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Karya AI was founded by Vivek Seshadri in 2021. Weaviate was founded by Bob van Luijt in 2019. Visit each company's profile on Awaira for a full founder biography.

Karya AI: Karya is an ethical AI data collection platform that sources high-quality annotated speech, text, and image datasets from rural Indian workers through a mobile app-based microtask marketplace, paying contributors above-market wages while generating training data for Indic language AI models. The organization operates on a non-profit model with the explicit goal of redistributing AI economic value to the communities whose data enables AI development.\n\nThe company received approximately $3M in grant funding from philanthropic organizations and development-focused investors, and has enlisted workers across rural India to collect speech data, transcriptions, and annotations in dozens of Indian languages and dialects. Karya's data collection model has produced datasets in low-resource Indian languages that are otherwise commercially unavailable.\n\nKarya addresses two significant problems simultaneously — the shortage of high-quality Indic language training data and the concentration of AI economic benefits in wealthy geographies. Its model of paying fair wages to data contributors while producing strategically valuable datasets has attracted attention as a sustainable and ethical approach to building the data infrastructure that India-specific AI development requires. 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.

Weaviate got there first, launching in 2019 — that's 2 years of extra runway. Karya AI didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Karya AI has about 10-50 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 Karya AI and Weaviate compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.