Weaviate vs Cropin

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

Cropin has raised more in total funding at $110M, compared to Weaviate's $67.5M — 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 Cropin's 70/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 2-point gap that reflects meaningful differences in scale or traction.

Weaviate was founded by Bob van Luijt in 2019. Cropin was founded by Krishna Kumar in 2010. Visit each company's profile on Awaira for a full founder biography.

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. Cropin: Cropin is a digital agriculture and crop intelligence platform that collects, processes, and analyzes data from satellite imagery, weather systems, IoT sensors, and farm management records to generate AI-powered crop performance analytics and risk assessments for agribusinesses, food companies, governments, and financial institutions with agricultural exposure. The platform enables enterprise-level visibility into crop production, supply chain traceability, and climate risk across large farmer networks.\n\nThe company raised approximately $110M in funding from investors including Google, ABC World Asia, and the Bill and Melinda Gates Foundation, and has built a platform covering tens of millions of acres of farmland across 60 countries. Cropin's satellite-based crop monitoring capabilities are used by multinational food companies to track sustainability commitments and supply chain traceability requirements.\n\nCropin occupies a unique position as a global agri-intelligence platform with deep roots in India and emerging market agriculture. The combination of Google investment and Gates Foundation support signals both commercial and development impact relevance, and the company's scale of farmland coverage creates a satellite and AI training data advantage that will be difficult for new entrants to replicate.

Cropin was founded first in 2010, giving it 9 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.

Weaviate has approximately 80 employees, while Cropin has approximately 200-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Weaviate and Cropin 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.