42CAP

Simplyblock develops low-latency high-performance storage software that helps businesses maximise the efficiency of their cloud storage for IO-intensive workloads, Kubernetes, databases & applications. The software can be deployed on public clouds such as AWS, Google Cloud and Azure and in private clouds. Simplyblock’s technology offers up to 50x improved cost-to-performance ratio compared to legacy storage solutions.

Qdrant is an open-source vector database developed in Rust that specializes in high-dimensional vector similarity search. It provides an API service that enables users to leverage embeddings and neural network encoders for various applications, including matching, searching, and recommending. Qdrant is designed to facilitate the effective utilization of unstructured data, making it suitable for next-generation artificial intelligence applications. Additionally, it offers a managed cloud solution, allowing users to adopt the technology more easily while minimizing resource requirements and costs.

DBtune is a developer of a database tuning platform that enhances system performance by optimizing databases in both cloud and on-premises environments. The platform utilizes machine learning algorithms to customize optimizations based on specific customer workloads and the hardware in use. By applying artificial intelligence, DBtune enables businesses to achieve scalable performance improvements, ultimately reducing the strain on their underlying hardware. This approach allows organizations to move beyond conservative default settings typically found in databases, tailoring parameters to better suit their particular applications and improving overall efficiency.

Qdrant is an open-source vector database developed in Rust that specializes in high-dimensional vector similarity search. It provides an API service that enables users to leverage embeddings and neural network encoders for various applications, including matching, searching, and recommending. Qdrant is designed to facilitate the effective utilization of unstructured data, making it suitable for next-generation artificial intelligence applications. Additionally, it offers a managed cloud solution, allowing users to adopt the technology more easily while minimizing resource requirements and costs.

Qdrant is an open-source vector database developed in Rust that specializes in high-dimensional vector similarity search. It provides an API service that enables users to leverage embeddings and neural network encoders for various applications, including matching, searching, and recommending. Qdrant is designed to facilitate the effective utilization of unstructured data, making it suitable for next-generation artificial intelligence applications. Additionally, it offers a managed cloud solution, allowing users to adopt the technology more easily while minimizing resource requirements and costs.