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GienTech Singapore Pte Ltd
About the Organisation
GienTech has established itself as a leading provider of digital infrastructure and enterprise technology services. Through sustained R&D investment and participation in national-scale projects, GienTech has built a comprehensive technology stack that integrates full-stack platforms, application software, and professional services. Leveraging deep industry expertise and real-world deployment scenarios, GienTech has developed ORIGIEN a converged digital-intelligence infrastructure designed to accelerate transformation across financial services and other critical industries. This platform embodies China's best practices in digital modernization, offering scalable, secure, and resilient solutions that enable enterprises to achieve operational excellence and sustainable growth. GienTech's proven track record in driving large-scale digital transformation initiatives positions it as a benchmark for global enterprises seeking to learn from China's experience in building robust, future-ready digital ecosystems.
Products and Services
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AI Integrated Load Test (NFTP)
GienTech NFTP is an AI-powered performance testing platform built for financial institutions. It lets you release with confidence. Most performance problems are found too late, and the cause takes days of expert analysis to track down. NFTP closes that gap. Its Performance Decision Engine works like an expert analyst on call around the clock. It pinpoints root causes, recommends fixes, and produces audit-ready reports on its own. Behind it sit 12+ anomaly-detection algorithms and 30+ diagnostic rules, combined with AI reasoning. After every test, NFTP generates an evidence-backed report that pinpoints what went wrong and why. It ranks issues by business impact and recommends specific fixes, such as SQL, connection-pool, JVM or infrastructure changes. The report is ready for your go-live decision or audit file.
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AI Test Automation Tool
GienTech AI Automation Test Suite brings two GienTech tools together to modernize how banks and financial institutions test software, from legacy estate to everyday delivery. The Legacy Test Migration Agent converts existing test cases from established commercial automation tools into open-source Playwright automation through a reviewable, stage-by-stage AI pipeline. It cuts migration effort by around 61 percent versus a manual rewrite and gives teams more flexibility over tooling and cost. Every stage produces human-readable output, so nothing moves forward unchecked. GienTech CoTester then takes over as your testers' AI co-worker. It turns business requirements, plain-English steps, recorded walkthroughs or source code into runnable web and mobile tests, proves every test by running it before it is saved, and keeps the suite working as applications change through self-healing and impact analysis. Together, they give QA teams one path: migrate what you have, automate what's new, and maintain it all with less effort. Everything runs on a local AI model on your own hardware, inside your network. Nothing leaves the building, and every AI decision is recorded.
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BTI Tool (Business-Technology Integration)
GienTech BTI (Business-Technology Integration) is a model-driven platform for modernizing core banking and other critical systems. Most modernization programs lose time at the handover. Business intent is written in documents, re-interpreted by developers, and drifts further from the original requirement with every change. BTI removes that gap. Requirements, BRDs or existing legacy code are turned into four connected models, covering process, data, capability and rules, built on open standards such as BPMN, DMN and OpenAPI. Those models then generate database schemas, API contracts and engineering scaffolding directly, cutting hand-coding by 40-50 percent. Every change stays traceable: alter one field and see every affected API, flow, rule and test. Models are not thrown away after go-live. They become reusable assets, so each new product, segment or country starts further ahead than the last. BTI runs on a cloud-native, microservice architecture with multi-active deployment for zero data loss, on-premises or in hybrid cloud. It is proven in production at scale, including a new core serving around 100 million customers at 5,400+TPS.
