Clareti Transaction Control

Changing the face of transactional technology


In Clareti Transaction Control (CTC) Gresham has developed a new breed of enterprise data integrity technology.

An agile platform which empowers clients to harness and evolve its capabilities to serve the specific demands of their financial businesses.

With no legacy architecture to work around when designing Clareti Transaction Control (CTC), Gresham was uniquely positioned to rip up the rule book on matching and reconciliation technology and develop a better alternative – advancing the very best aspects of existing platforms and removing the worst.

The team’s experienced understanding of client frustrations around sluggish processing, limited adaptability, a lack of transparency and too many potential areas of risk led to the creation of a faster, more visible, more flexible solution, with integrity at its very core.

The high performance achieved during this most recent benchmark shows that CTC can be used in extremely high-volume, low-latency environments to give operational certainty to financial organisations and infrastructure providers conducting billions of transactions per hour in fast-moving markets


Integrity built in

CTC’s sophisticated matching algorithm isn’t constrained by a fixed data model. It can take multiple feeds and match in multiple ways, enabling the processing of complex information while allowing for future expansion.

Integrity is built-in, with automated comparison, verification and validation ensuring regulatory compliance and protecting from financial loss. Real-time visibility of transactional data at any moment ensures true transparency, while reports can be accessed automatically.

CTC is all about speed. From its ability to be implemented and onboarded within days, to its rapid controls (as quick, if not quicker than spreadsheet controls) the user experience is more pleasurable, faster and easier to use than legyct systems.

CTTC enables:

  • Very rapid reconciliation, verification and validation of transaction
  • Optimised business performance
  • Quick and accurate identification of data errors and operational risks
  • A reduction in financial transaction loss
  • Regulatory compliance
  • A reduction in deployment, hardware and operational costs
  • The removal of complex and risky spreadsheets