The Future of AI-Driven Data Intelligence

Own data processes end-to-end, cross-asset, with one platform to achieve total control. Maximise insight match and verify data between internal systems (like general ledgers, trading platforms, and payment systems) and external sources (such as custodians, counterparties, and clearing houses). It automates the identification of discrepancies, supports exception management workflows, and ensures timely resolution of breaks. This improves operational efficiency, reduces risk, supports regulatory compliance, and enhances audit readiness. Common use cases include cash and securities, nostro account, and fee and expense validation.

Ensures the accuracy and consistency of financial data across multiple systems and counterparties. It automatically matches transactions, such as trades, cash movements, and positions between internal records and external sources like custodians, brokers, and clearing houses. This helps firms quickly identify and resolve breaks or discrepancies, reduce operational risk, and maintain regulatory compliance. It also supports high-volume, high-frequency environments by streamlining exception management and enabling real-time visibility into financial operations.

Ensures data consistency across internal systems and external sources, such as custodians, fund administrators, and brokers. It automates the matching of transactions, positions, and cash balances, helping firms quickly identify and resolve discrepancies. This improves operational efficiency, reduces risk, supports regulatory compliance, and ensures accurate reporting for portfolio valuations, NAV calculations, and investor communications.

Ensures accuracy and compliance by automatically matching internal transaction records with external data sources like bank statements or payment processors. It streamlines workflows, flags discrepancies, supports regulatory reporting, and integrates with systems like ERPs and payment gateways. This reduces manual effort, improves financial visibility, and enables faster month-end close and audit readiness.

Ensures data accuracy, streamline operations, and maintain trust. It helps automatically match and validate financial transactions across systems, such as payment gateways, digital wallets, trading platforms, and bank feeds. This reduces manual effort, identifies discrepancies in real time, and supports faster resolution of breaks. For fintechs operating at high volumes and speed, reconciliation automation is critical for managing cash flow, ensuring regulatory compliance, and delivering accurate reporting to customers and stakeholders.

Supports CeDeFi (Centralised Decentralized Finance) to ensure consistency between centralised records and decentralised blockchain transactions. It automates the matching of trades, fees, and asset movements across systems, supports compliance, and resolves discrepancies between smart contracts and traditional ledgers. This enables CeDeFi to maintain transparency, reduce risk, and operate efficiently across hybrid financial infrastructures.

Ensure accuracy between internal financial records and external data sources, such as banks, brokers, and policy administration systems. It automates the matching of premium payments, claims, commissions, and settlements, helping insurers quickly identify discrepancies and resolve them. This improves operational efficiency, supports regulatory compliance, enhances audit readiness, and ensures accurate financial reporting across complex, high-volume transactions.

Respond quickly to market shifts and customer demands by empowering your team.

Ensures financial accuracy and operational efficiency. It automatically matches data between internal systems (like accounting, ERP, or CRM platforms) and external sources (such as banks, vendors, or payment processors). This helps businesses identify and resolve discrepancies in transactions, invoices, payments, and balances. By reducing manual effort, improving audit readiness, and supporting compliance, reconciliation automation ensures better financial control and decision-making across departments.

Ensures financial accuracy, transparency, and accountability across government departments and agencies. It automates the matching of transactions between internal systems and external sources, helping to identify discrepancies in payments, budgets, and reporting. This supports compliance with public finance regulations, improves audit readiness, and reduces manual effort, enabling more efficient use of public funds and better financial governance.