Qdrant is a Berlin-based open-source based deep-tech start-up developing the leading neural search technology to bring applied AI solutions to the next level and make metric learning practical. Our flagship product - neural search engine provides a production-ready service with a convenient API to store, search, and manage vectors along with the additional payload. Qdrant engine is tailored to extended filtering support making it useful for all sorts of neural-network or semantic-based matching, recommendations, faceted search, etc. The area of application is quite broad and ranges from semantic search and product recommendations for e-commerce to image recognition and anomaly detection. The main focus is on processing unstructured data.

We want to announce a €2 million pre-seed round of financing from two European funds: 42CAP, an industry-specialized German fund based in Munich, and IBB Ventures, an early-stage VC fund based in Berlin, joined by several business angels with a deep know-how of the industry. With the investment, we plan to grow the community of early adopters and going to establish our technology as a standard by releasing the major version of its open-source neural search engine later this year.

Check out our GitHub repository for details: https://github.com/qdrant/qdrant
PS: We are looking for Rust Engineers 🦀 and ML Engineers 😉