Cervest vs Pinecone

Pinecone has a disclosed valuation of $750M, while Cervest'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 Cervest's $32M — a gap of $106M. Combined, the two companies have completed 5 known funding rounds.

Pinecone leads with an Awaira Score of 76/100, while Cervest sits at 45/100. That 31-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Cervest was founded by Iggy Bassi in 2016. Pinecone was founded by Edo Liberty 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. 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.

Cervest got there first, launching in 2016 — that's 3 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.

Cervest has about 1-50 employees; Pinecone has about 150. 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 Cervest and Pinecone compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.