Cypris has announced a strategic collaboration with Elastic to enhance AI capabilities for research and development (R&D) teams. This partnership aims to transform the R&D landscape with Cypris’s advanced AI platform, enabling teams to analyze over 500 million technical and market-level data points in seconds.
Accelerating R&D Processes
- Rapid Report Generation: The integration of Elasticsearch and generative AI allows Cypris clients to generate detailed reports in just 15 minutes, significantly faster than traditional manual research methods.
- Market Understanding: Cypris assists R&D teams in gaining insights into market landscapes, competitive intelligence, and leveraging patent and research data to drive early-stage research.
Key Technology Features
- Elasticsearch Integration: Serving as the backbone of the Cypris platform, Elasticsearch organizes and indexes large volumes of content, enhancing data retrieval speed and efficiency.
- Generative AI Processing: Once data is retrieved, Cypris utilizes a state-of-the-art generative AI platform to deliver tailored reports and dashboards in minutes, reducing manual research efforts.
RAG Methodology
- Retrieval-Augmented Generation (RAG): This method is being widely adopted by Cypris clients across various industries, including manufacturing, defense, and pharmaceuticals.
- CEO Insights: “By simply entering a few keywords, you can gain a comprehensive understanding of the latest innovations in fields like nuclear energy or electric vehicles within seconds,” said Steve Hafif, CEO at Cypris.
Enhancing Search Capabilities
- Semantic Search Optimization: Cypris narrows the context window of its large language model to focus on real-time, innovation-centric data, drawing from global patents, scientific literature, and more.
- Elasticsearch Advantages: “Using Elastic instead of building our own vector-based search engine saved us a considerable amount of time and resources,” noted Hafif.
Strategic Collaboration with Elastic
- Advanced Search Features: Elastic’s tooling around semantic search inference pipelines and dense vector queries significantly enhances text-based search applications.
- Hybrid Search Power: The ability to score relevance through both vector similarity and traditional queries empowers Cypris to handle niche search use cases effectively.
Commitment to Security and Scalability
- High-Profile Clients: Cypris has secured contracts with organizations like the U.S. Department of Energy and Department of Defense, owing to its robust security practices.
- Scalability Solutions: Elastic’s reliability has allowed Cypris to manage over 500 million documents, totaling more than 10 terabytes of data without technological constraints.
Business Growth Impact
- Quarterly Growth: Cypris is experiencing nearly 30% quarterly customer growth, attributed to the enhanced capabilities offered by Elasticsearch.
- Future Growth Prospects: Cypris anticipates surpassing a billion stored documents by the end of the next year, continuing to expand its core database through Elastic.
The collaboration with Elastic not only fortifies Cypris’s technological foundation but also positions it for continued growth and success in delivering unparalleled research experiences. “Elastic is the ideal AI partner for our business,” Hafif stated, highlighting the importance of accuracy and efficiency in their search functionalities.
