Case Study: Cequence achieves AI-driven data security and scalable data lake architecture with Zymr

Cequence handles 20 TB of data per day with Zymr

The customer, Cequence, a prominent multinational cybersecurity firm, faced challenges in developing a novel AI-native data security SaaS platform. They needed to build a robust data lake infrastructure and required expert guidance to design and implement domain-specific Large Language Models (LLMs) for generative AI insights. They engaged the vendor, Zymr, for its cloud and data engineering expertise.

Zymr architected and deployed a comprehensive data engineering solution on Google Cloud. This included a hyper-scale data lake and a robust MLOps framework for managing the complete AI lifecycle. The solution successfully handles over 20 terabytes of data per day, enhancing data classification, analytics capabilities, and platform scalability for Cequence. Zymr's implementation revolutionized the client's data management, driving greater efficiency and innovation.

Cequence