Pinecone vs Cropin

Pinecone has a disclosed valuation of $750M, while Cropin's valuation is not publicly available, making a direct size comparison difficult. Pinecone employs 150 people.

Pinecone has raised more in total funding at $138M, compared to Cropin's $110M — a gap of $28M. Combined, the two companies have completed 4 known funding rounds.

Pinecone leads with an Awaira Score of 76/100, while Cropin sits at 70/100. That 6-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Pinecone was founded by Edo Liberty in 2019. Cropin was founded by Krishna Kumar in 2010. Visit each company's profile on Awaira for a full founder biography.

Pinecone: Pinecone is a vector database platform founded in 2019 that enables developers to build and deploy AI applications using vector embeddings. The company provides a fully managed cloud service that indexes and searches high-dimensional vector data at scale, serving as critical infrastructure for retrieval-augmented generation (RAG) and other machine learning workflows. Pinecone's core offering allows applications to store, index, and query embeddings generated from text, images, and other data types, facilitating semantic search and similarity matching capabilities essential for modern AI systems. The platform operates in the rapidly expanding vector database market, competing with alternatives including Weaviate, Milvus, and cloud provider solutions. Pinecone's approach emphasizes ease of use through a serverless architecture that abstracts infrastructure complexity, targeting developers building generative AI applications without deep database expertise. The company has achieved significant adoption among enterprises and startups applying large language models for production systems. As of the latest disclosed information, Pinecone has raised $138 million in funding and holds a valuation of $800 million. The company remains in Series B stage, indicating substantial market validation while operating in the pre-profitability phase typical of infrastructure software companies. Its growth trajectory reflects increasing demand for vector storage solutions as enterprises integrate AI models into production workflows. Pinecone's serverless vector database architecture uniquely abstracts infrastructure complexity for developers building retrieval-augmented generation systems at scale. 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. Pinecone didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Pinecone has about 150 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 Pinecone and Cropin compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.