Triange NxT provides businesses with a futuristic edge by combining intelligent cloud platforms with data, analytics and AI capabilities.

Through its collection of domain-specific products, platforms, and AI and ML based accelerators, Triange NxT enhances the speed-to-market for organizations across industries. It deploys different pre-trained models that are relevant and accurately mapped to the data and analytics maturity of organizations.

WNS' augmented data management accelerators enable organizations to build data foundations (data lakes, warehouse, governance), while WNS' cognitive accelerators use AI and automation techniques to optimize their processes. Similarly, WNS' industry analytics platforms help organizations expand their analytics-based decision-making.

Leveraging the intelligent cloud, Triange Nxt:

  • Enables enterprises to create a complete data engineering and management services ecosystem of data strategies, data management frameworks, and migration of data workloads to the cloud
  • Brings together the combined power of industry expertise, internally developed IPs, and third-party partnerships to provide domain-centric intelligent platforms

Triange NxT saved millions of dollars in claims and indemnity costs for one of the world's largest insurance companies…

…By developing highly specialized AI and ML models to manage the data-to-insights ecosystem underlying the claims process, end-to-end.

  • Save millions of dollars –
    USD 5 million through claims triaging, USD 60 million through fraud management, USD 14 million through improved subrogation rates, USD 12 million annually through liability prediction, USD 12 million through auto claims recoveries
  • Minimize OPEX through reduced operational touch points
  • Improve loss ratios through increased indemnity savings

Triange NxT saved millions of dollars in claims and indemnity costs for one of the world's largest insurance companies…

…By developing highly specialized AI and ML models to manage the data-to-insights ecosystem underlying the claims process, end-to-end.

  • Save millions of dollars –
    USD 5 million through claims triaging, USD 60 million through fraud management, USD 14 million through improved subrogation rates, USD 12 million annually through liability prediction, USD 12 million through auto claims recoveries
  • Minimize OPEX through reduced operational touch points
  • Improve loss ratios through increased indemnity savings

Triange NxT saved a global shipping leader more than USD 9 million and deliver an RoI of more than 16 times…

…By automating the classification of more than 270 million shipping documents annually and improving the extraction of relevant data.

Skense, our data extraction and contextualization platform, powered by advanced AI / ML techniques provided the client with quick and actionable insights to

  • Automate the classification of more than 270 million shipping documents annually
  • Save USD 9 million over five years
  • Deliver a return on investment of more than 16-times.

Triange NxT partnered with a global beverage company to uncover USD 10-15 Mn worth of opportunities annually, and triple their speed to insights and action…

…By identifying emerging trends through platform-based solutions, tracking them and identifying profitable bets early on.

Triange NxT’s AI and ML based platform enabled the beverage major to:

  • Create a taxonomy for identifying themes from unstructured data (social and online content)
  • Determine consumer trends across product categories and brands servicing these trends
  • Develop a set of AI algorithms to derive emerging brands and trends
  • Provide a cloud-based and always on system with early warning alerts and signals

Triange NxT partnered with a global beverage company to uncover USD 10-15 Mn worth of opportunities annually, and triple their speed to insights and action…

…By identifying emerging trends through platform-based solutions, tracking them and identifying profitable bets early on.

Triange NxT’s AI and ML based platform enabled the beverage major to:

  • Create a taxonomy for identifying themes from unstructured data (social and online content)
  • Determine consumer trends across product categories and brands servicing these trends
  • Develop a set of AI algorithms to derive emerging brands and trends
  • Provide a cloud-based and always on system with early warning alerts and signals

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