Case Study: Cequence achieves scalable AI-native cybersecurity operations with Zymr's dedicated AI engineering team

Cequence delivers a production-grade AI platform on GCP with Zymr

Cequence, a cybersecurity technology company, needed to accelerate the development of its AI-native security platform and operationalize machine learning at scale. Their internal capabilities were insufficient to build the required production-grade infrastructure on Google Cloud Platform, leading to challenges in scalability, reliability, and cross-functional collaboration. To address this, Cequence partnered with vendor Zymr for a dedicated AI engineering team.

Zymr assembled a specialized team that delivered a production-ready AI platform on GCP. The solution included a BigQuery-based data lakehouse, automated ML pipelines for faster model deployment, scalable model serving infrastructure, and a full MLOps framework. This established scalable AI operations for Cequence, accelerating innovation and enabling continuous experimentation while improving reliability and governance.

Cequence