Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data

Funding Rounds

Summary

But while theres little question of a seismic sea change these past six months in terms of public awareness, the growing demand for AI could be outpacing the infrastructure required to power the myriad use cases that are emerging and this is something that German startup Qdrant is looking to address.Founded out of Berlin in 2021, Qdrant is targeting AI software developers with an open source vector search engine and database for unstructured data, which is an integral part of AI application development particularly as it relates to using real-time data that hasnt been categorized or labeled.To help bring its technology deeper into the commercial sphere, Qdrant today announced a $7.5 million seed financing from lead investor Unusual Ventures, with participation from 42cap, IBB Ventures and a handful of angel backers, including Cloudera co-founder Amr Awadallah. At the same time, the vast majority of AI research and development (R&D) projects never make it into production, which Qdrant CEO and co-founder Andre Zayarni reckons is due to a lack of the right tools ultimately, being able to connect an LLM to real-time, unstructured data can open up a wealth of opportunities to anyone looking to build more useful AI applications.Vector databases are the natural extension of their (LLMs) capabilities, Zayarni explained to TechCrunch. The biggest limitation of GPT is that it knows only about events that happened before the time the model was trained, but if its connected to a vector database, the virtual memory of an LLM can be extended with real-time and real-world data.Investors have been taking note, too. And earlier this month Chroma secured $18 million in seed funding to grow its AI-native open source vector database.That Qdrant has now raised $7.5 million in seed funding is somewhat telling about where investors heads are right now any technology that promises to help advance AI and machine learning, and extend its capabilities to all developers, is clearly an attractive proposition.Zayarni said that Qdrant spent the better part of a month fine-tuning its pitch-deck for its seed funding round, and received its first term sheet on the second day after sending out its deck, which was followed by another term sheet two days after that.We had more than 20 VCs interested almost all of them wanted to join as co-investors later and we most probably would have received more offers, Zayarni said. But Unusual Ventures deep experience with OSS (open source software) and its model of being an active operational partner instead of just an investor were incredibly attractive to us, so we decided to go with them.Todays funding news comes a couple of months after Qdrant launched its managed cloud offering, which is designed to help developers through one-click deployments, automated version upgrades, backups and a soon-to-launch database admin interface.With its fresh cash injection, Zayarni said Qdrant is also working on an enterprise product that can be hosted on-premises or in a private cloud, which he expects to launch later this year.

$ Funding

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Amount $7.5M Total raised
Date April 19, 2023 Announcement date
Investors IBB Ventures, D2iQ Lead investors
Company https://qdrant.tech Funded company

Classifications

industries
Fintech & Banking
applications
Data Management

AskAI Classifications

Labels
Enterprise Software Kubernetes Platform Cloud Native Software

Linked Companies

D2iQ
$25M to $50M