Cervest vs Weaviate

Weaviate has a disclosed valuation of $200M, while Cervest'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 Cervest's $32M — a gap of $35.5M. Combined, the two companies have completed 3 known funding rounds.

Weaviate holds the higher Awaira Score at 72/100, compared to Cervest's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 27-point gap that reflects meaningful differences in scale or traction.

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

Cervest: Cervest builds a climate intelligence platform that quantifies climate risk for physical assets including agricultural land, commercial real estate, and infrastructure, using AI models that integrate climate science projections with asset-level data to produce probabilistic risk scores across multiple climate scenarios and time horizons. The London company targets institutional investors, insurers, and corporate treasury teams seeking to quantify physical climate risk in their portfolios.\n\nThe company raised approximately $32 million including a Series A round with investors including Astanor Ventures, Alumni Ventures, and the Future Planet Capital fund. Cervest built its EarthScan product as a SaaS platform delivering climate risk analytics for millions of individual assets, compatible with financial reporting frameworks including TCFD and SFDR that require climate risk disclosure from institutional investors. The platform covers risk categories including flood, drought, heat, wildfire, and storm surge across global geographies.\n\nCervest competes in the physical climate risk analytics market alongside Jupiter Intelligence, The Climate Service, and Verisk Climate, as well as large financial data providers including Moody ESG Solutions and S&P Sustainable. Regulatory pressure on financial institutions to disclose climate-related physical risks under TCFD and forthcoming mandatory climate disclosure regimes represents the primary demand driver for the company products. The market is growing rapidly as regulators in Europe, the UK, and North America formalise climate risk reporting requirements for banks, insurers, and listed companies. 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.

Cervest 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.

Cervest has approximately 1-50 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, Cervest 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.