Entropik vs Weaviate

Weaviate has a disclosed valuation of $200M, while Entropik'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 Entropik's $25M — a gap of $42.5M. Combined, the two companies have completed 3 known funding rounds.

Weaviate holds the higher Awaira Score at 72/100, compared to Entropik'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.

Entropik was founded by Ranjan Kumar in 2016. Weaviate was founded by Bob van Luijt in 2019. Visit each company's profile on Awaira for a full founder biography.

Entropik: Entropik is an emotion AI and consumer research platform that uses facial coding, eye tracking, voice emotion analysis, and neuroimaging-inspired techniques to measure subconscious consumer responses to advertisements, product packaging, and in-store experiences. The platform provides market researchers and brand teams with quantitative emotional engagement metrics that complement traditional survey-based consumer research methods.\n\nThe company raised approximately $25M in Series B funding from investors including Ankur Capital and YourNest, and serves consumer goods companies, media agencies, and market research firms globally that want to understand emotional drivers of purchase decisions beyond what surveys can capture. Entropik's Affect Lab and Decode platforms automate the collection and analysis of non-conscious consumer responses at a scale and speed that in-lab research cannot match.\n\nConsumer insights is a multi-billion dollar market globally, and the shift toward digital advertising has created strong demand for more granular engagement measurement than view counts and click rates provide. Entropik's biometric and behavioral measurement approach offers a fundamentally different data source — one that captures the emotional responses that drive brand preference and purchase intent beneath stated survey answers. 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.

Entropik was founded first in 2016, giving it 3 years 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.

Entropik 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, Entropik 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.