Hyperspace is a hybrid search database that integrates lexical and vector search technologies to enhance information retrieval in data-intensive applications. It delivers real-time performance at a billion-scale while reducing costs by 50% and increasing throughput by five times compared to traditional software-based solutions.
Funding
$10.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Existing search databases often struggle to deliver real-time performance at scale, especially when dealing with data-intensive applications requiring both lexical and vector search capabilities. Traditional software-based solutions can be costly and lack the throughput needed for modern search demands.
Solution
Hyperspace offers a hybrid search database that integrates lexical and vector search technologies, providing enhanced information retrieval for data-intensive applications. By utilizing a purpose-built chip, Hyperspace delivers real-time performance at a billion-scale while reducing costs and increasing throughput compared to traditional software-based solutions. The platform allows users to execute similarity queries by combining vector search with lexical search functions, such as metadata filtering, aggregations, and TF-IDF. Hyperspace optimizes computation efficiency and memory footprint, enabling users to scale from zero to billions of data points while maintaining performance.
Target Audience
The primary target audience includes developers and organizations dealing with data-intensive applications that require high-performance search capabilities, such as fraud prevention, e-commerce, and data analytics.
Features
- Hybrid search capabilities combining lexical and vector search functionalities
- Purpose-built chip for optimized search performance
- Real-time performance at a billion-scale
- Reduced costs compared to traditional software-based solutions
- Increased throughput for data-intensive applications
- Support for metadata filtering, aggregations, and TF-IDF
- Elastic seamless integration
- High availability
- Production-grade security