Datsura delivers advanced trade and regulatory reporting analytics, including SDR/SEF support, portfolio reconciliation, reference data integration, and remediation of CFTC findings through enhanced surveillance and workflows. Our expertise spans AML audits, market abuse detection, enterprise risk management, and rebuilding compliance policies while streamlining workflows across jurisdictions.

We build and enhance trade surveillance systems tailored for derivatives such as swaps and futures, while also developing workflows and triaging processes that strengthen these systems. In addition, we design and deploy compliance analytics platforms aimed at detecting fraud within trade surveillance operations. Our work extends to gathering enforcement actions across multiple jurisdictions and analyzing them to identify recurring patterns and emerging trends, ensuring a more proactive and comprehensive approach to market oversight.

With deep experience across vendor and custom-built surveillance systems (SMARTS, and regulator-developed platforms), and coverage across futures, options, swaps, and crypto/DeFi, we bridge gaps in training data by applying AI and rules-based approaches. This enables us to certify the quality of trading data analytics, governance, and surveillance programs against industry best practices, U.S. and EU regulations, and clients' enterprise risk management goals.

Datsura delivers data warehousing, cross-asset data analytics solutions powered by advanced data engineering and analytics initiatives, complemented by intelligence gathering through reporting and dashboarding to uncover meaningful insights from complex datasets. We also specialize in LLMOps, including the custom development of large language models to analyze legacy applications, outputs, and rulebooks, and the implementation of streamlined LLMOps processes to improve accuracy. These AI-driven approaches help clients save time and costs by seamlessly modernizing operations and reducing the need for extensive reengineering efforts.