Superb AI vs Weaviate

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

Superb AI has raised more in total funding at $70M, compared to Weaviate's $67.5M — a gap of $2.5M. Combined, the two companies have completed 3 known funding rounds.

Weaviate holds the higher Awaira Score at 72/100, compared to Superb AI's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.

Superb AI was founded by Hyun Kim in 2018. Weaviate was founded by Bob van Luijt in 2019. Visit each company's profile on Awaira for a full founder biography.

Superb AI: Superb AI provides an AI data labelling and dataset management platform that combines annotation tools with AI-assisted labelling automation, quality assurance workflows, and dataset analytics for computer vision AI development teams. The Seoul and San Francisco company Suite product covers image, video, and 3D point cloud annotation across bounding box, segmentation, keypoint, and polygon annotation types, targeting autonomous vehicle, robotics, and AI product companies that require high-quality labelled datasets at scale.\n\nThe company raised approximately $70 million in a Series C round from investors including SoftBank Ventures Asia, Kakao Ventures, and Madrona Venture Group. Superb AI has expanded its platform beyond annotation tooling to include dataset management, model evaluation, and AI-assisted label suggestion that reduces the manual effort required per annotation through model-assisted pre-labelling followed by human review.\n\nSuperb AI competes in the AI data platform market against Scale AI, Labelbox, Encord, and V7, as well as annotation services providers that offer managed labelling workforce services. Its Korean origin has provided access to the automotive and manufacturing AI market in Korea, where companies including Hyundai, Kia, and LG Electronics are significant purchasers of AI training data and annotation services. The company dual San Francisco and Seoul presence reflects its strategy of serving both Korean enterprise clients and the global AI development market from a single platform. 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.

Superb AI was founded first in 2018, giving it 1 year of additional market experience. Weaviate was founded later in 2019. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Superb AI has approximately 100-500 employees, while Weaviate has approximately 80. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Superb AI and Weaviate are direct competitors — both operate in the AI Data space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.