Case Studies

Programmes delivered where the stakes were measured in lives, money and uptime

A selection of engagements illustrating how Ycosa Limited converts advanced analytics into operational advantage for regulated institutions.

Real-time AML and fraud detection for a national bank

Banking & Financial Crime

Real-time AML and fraud detection for a national bank

A unified monitoring layer scoring card, wallet and interbank transactions in real time, with graph analytics linking accounts, devices and beneficiaries into investigable networks.

  • 62% reduction in false positives
  • Sub-300ms scoring latency
  • Automated regulatory reporting
Duke University-related continuous patient monitoring

Healthcare Innovation

Duke University-related continuous patient monitoring

Contribution to a Duke University-affiliated research programme applying machine learning to streaming bedside vital-sign data to detect physiological deterioration earlier than threshold alarms.

  • Continuous multi-parameter ingestion
  • Earlier deterioration signals
  • Reduced alarm fatigue
Predictive maintenance for rolling stock fleets

Railway Operations

Predictive maintenance for rolling stock fleets

IoT telemetry from traction, braking and bogie subsystems feeding remaining-useful-life models that reschedule interventions into planned depot windows.

  • Unplanned failures cut sharply
  • Optimised spare-parts holding
  • Higher fleet availability
IP telephony modernisation with network assurance analytics

Telecommunications & Enterprise

IP telephony modernisation with network assurance analytics

Carrier-grade VoIP and contact centre migration delivered turnkey, paired with an analytics layer for call quality, fraud management and revenue assurance.

  • Consolidated voice infrastructure
  • Live quality-of-service insight
  • Toll-fraud loss reduction

Turnkey delivery

One contract, one accountable partner

Across every programme above, Ycosa Limited held responsibility for architecture, build, integration, compliance sign-off, training and ongoing managed support.

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