QuickNode Core API serves as our primary RPC access layer to interact with multiple production networks, including Ethereum, Polygon, and Arbitrum, in our digital banking environment where maintaining resilient connectivity across our stack of distributed ledgers is non-negotiable. Rather than deploying and maintaining self-hosted archival and full nodes internally, which demands continuous DevSecOps bandwidth and synchronization monitoring with higher infrastructure overhead, QuickNode Core API saves us considerable time and acts as a unified multi-chain gateway. QuickNode Core API also serves in our backend transaction ingestion engines and assists with wallet balance verification for our AML and KYC forensic teams while aiding us in detecting AI-driven fraud. The AI model significantly contributes to our fraud detection models, making this our primary use case. Our major factor for choosing QuickNode Core API was the support and the results it has delivered in the past to other clients. We researched this decision in our internal board meetings where we discussed what we should adopt for the organization. QuickNode Core API fit into our consideration by saving a lot of continuous DevSecOps bandwidth, synchronized monitoring, and high infrastructure overhead while serving as a multi-chain gateway. This was our major decision driver for selecting it.
QuickNode Core API serves as our primary RPC access layer to interact with multiple production networks, including Ethereum, Polygon, and Arbitrum, in our digital banking environment where maintaining resilient connectivity across our stack of distributed ledgers is non-negotiable. Rather than deploying and maintaining self-hosted archival and full nodes internally, which demands continuous DevSecOps bandwidth and synchronization monitoring with higher infrastructure overhead, QuickNode Core API saves us considerable time and acts as a unified multi-chain gateway. QuickNode Core API also serves in our backend transaction ingestion engines and assists with wallet balance verification for our AML and KYC forensic teams while aiding us in detecting AI-driven fraud. The AI model significantly contributes to our fraud detection models, making this our primary use case. Our major factor for choosing QuickNode Core API was the support and the results it has delivered in the past to other clients. We researched this decision in our internal board meetings where we discussed what we should adopt for the organization. QuickNode Core API fit into our consideration by saving a lot of continuous DevSecOps bandwidth, synchronized monitoring, and high infrastructure overhead while serving as a multi-chain gateway. This was our major decision driver for selecting it.