Generative AI applications have grabbed most of the funding headlines lately, but some aspects of the infrastructure underlying those applications are starting to attract investor attention.
New York-based vector database startup pinecone is the latest, raising a $100 million Series B at a $750 million valuation.led the round Andreessen Horowitz,participant Growth of Iconiq and previous investors Menlo Ventures and Wing Venture Capital.
The company’s vector database allows engineers to work with data generated by large-scale language models and other AI-related models. Vector databases are easily searchable and provide the flexibility engineers need when creating commercial AI applications.
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“A new wave of AI-powered applications creates, stores, and retrieves large numbers of vector embeddings that are AI representations of data,” said the founder and CEO. Edo Liberty and release“We created Pinecone and the entire vector database category to make it easy for all AI developers to work with scalable, cost-effective databases for this workload.”
Building AI
Investors currently cannot fully understand all of AI.
I love generative AI startups, character.ai, Sophisticated AI and Anthropic With most of the attention, it looks like we’re also seeing investment in the underlying pipes needed to build these applications.
Based in New Jersey last week core weave locked up a $221 million investment led by Magnetar CapitalSpecialized cloud providers offer flexible cloud infrastructure with better processing needed to train LLMs for AI.
Also, with the explosive spread of AI, investment in semiconductor startups may increase. Training these LLMs also requires new chips that do better.
Founded in 2019, Pinecone has now raised $138 million, according to Crunchbase data.
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