Xceptor

Financial operations teams at banks, custodians, and asset managers spend significant time managing data that arrives in inconsistent formats, from incompatible systems, and at volumes that manual processes cannot absorb reliably. Xceptor is a data automation platform built specifically for capital markets workflows, addressing this problem by automating data ingestion, normalisation, validation, and transformation across the full trade and client lifecycle. Founded in 2003 and now serving approximately 125 clients and 11,500 users across 60 countries, the platform is used by 14 of the top 50 global banks and 7 of the top 10 global custodians, including HSBC, BNY Mellon, Deutsche Bank, and Northern Trust.

For operations teams evaluating whether Xceptor fits their environment, the key differentiator is configurability without requiring dedicated engineering. Business users can build and modify automated processes directly, with the platform handling audit trails, exception routing, and governance as byproducts of execution rather than retrospective tasks. Specific use cases where the platform is actively deployed include:

• Automated reconciliations across simple and complex multi-asset positions
• Tax documentation management, withholding tax reclaims, and regulatory submissions
• Post-trade confirmations and loan notice processing using AI-powered document extraction
• Client onboarding workflows with regulatory compliance tracking
• End-user computing (EUC) remediation, replacing spreadsheet-based processes at scale

The platform integrates with a broad range of capital markets systems including Murex, Aladdin, SimCorp, SS&C Advent, Bloomberg, and cloud infrastructure such as Snowflake, AWS S3, and Azure. Xceptor is available in both on-premises and SaaS configurations. Pricing is not publicly disclosed, and the platform is positioned for institutional-scale deployments rather than smaller family office operations. Buyers operating at enterprise scale with complex data environments across multiple systems will find the most value here.