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 4 known funding rounds.

Weaviate leads with an Awaira Score of 72/100, while Cropin sits at 70/100. That 2-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

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 got there first, launching in 2010 — that's 9 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.

Weaviate has about 80 employees; Cropin has about 200-500. 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 Weaviate and Cropin compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.