Risk Management
ElysianNxt needed to replace overnight batch-style risk analysis with a cloud platform that could run large numbers of what-if analyses and regulatory stress tests quickly, while giving customers full lineage and preparing for generative AI–assisted interpretation of risk results.
Reported impact
Customers can run multiple simulations within minutes, one customer reduced IFRS 9 calculation time from 24 hours to less than 1 hour, and ElysianNxt implemented its Amazon Bedrock assistant to testing in 3 months while maintaining scalable SaaS delivery on AWS.
ElysianNxt built its .NXT risk platform as a cloud-native SaaS architecture on AWS so financial-services customers can run complex risk simulations without overnight batch processing or deep technical setup. The platform runs distributed microservices on Amazon EKS, while Amazon MSK carries near-real-time messages and data between services to support what-if analyses, stress tests, and compliance calculations. This lets customers trace full data lineage from source to result and scale simulations elastically, including IFRS 9 workloads that dropped from 24 hours to less than 1 hour. ElysianNxt is also integrating Amazon Bedrock into the platform to turn results into text-based insights and configurations and to automate data-quality checks. The combination gives customers faster risk analysis today while laying a generative AI foundation inside the same SaaS environment.
Risk and compliance data moves through distributed microservices on Amazon EKS, is exchanged between services through Amazon MSK for near-real-time processing, and is then surfaced to customers as simulations, stress-test outputs, and emerging Amazon Bedrock-driven text insights and data-quality checks.
ElysianNxt is using Amazon Bedrock ... which it implemented to the point of testing in 3 months.
ElysianNxt runs its microservices on Amazon Elastic Kubernetes Service (Amazon EKS).
To handle near real-time data processing and communication between services, ElysianNxt uses Amazon Managed Streaming for Apache Kafka (Amazon MSK).
customers can run multiple simulations within a few minutes.
one customer reduced the total calculation time for regulatory compliance data, in this case IFRS 9, from 24 hours to less than 1 hour.
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Scoring methodology
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Traceability
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Cantersteen 47, 1000 Brussels, Belgium
The Organization JSON-LD lists addressLocality 'Brussels', and addressCountry 'BE', and numberOfEmployees value 54.
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