China-based digital transformation firm and QA solution provider GienTech has finalised the development of a new platform that it claims combines artificial intelligence, machine learning, automation and agile testing methodologies.
Its new solution, called Testing Center of Excellence, or TCOE, should help banks, financial services firms and other businesses to simplify their testing practices.
“Enterprise software testing is extremely complex and time-consuming,” stressed William Wong, Senior Vice President of GienTech, singling out a recent Gartner report, which found that product-testing teams will continue to face increasing complexity in applications and architecture, as well as shorter development cycles, in coming years.
“This pressure will be made more acute by the ongoing shortage of skilled engineers and the need to meet compliance regulations for data privacy and accessibility,” Wong added.
“At the same time, teams need to continue to automate an ever-growing backlog of manual tests” he continued, stressing that his firm can help companies to “overcome these obstacles with an end-to-end solution that uses Generative AI to substantially streamline and enhance enterprise software testing.”
In fact, Wong said his company is “on a mission to make software testing more intelligent, agile, and efficient, while also reducing costs and labour intensity.”
He called TCoE 3.0 “a comprehensive end-to-end solution designed to standardize, centralise, and optimize enterprise software testing using AI, ML, and automation.”
Explaining the solution in more detail, Wong clarified the tool “augments the software quality assurance team and is ideal for demanding environments, like the banking and finance sector, where complex system architectures, custom-built legacy systems, and highly sensitive data are the norm.”
Singling out some of the solution’s key features, Wong zoomed in on AI-powered test case generation.
“TCoE 3.0 leverages large language models to analyse business requirements and automatically generate test cases,” he noted.
“This approach ensures that the test cases are aligned with business objectives throughout the end-to-end testing. By automating test case preparation and enhancing agility, TCoE 3.0 enables testing teams to achieve broader coverage with minimal additional effort,” Wong claimed.
Moreover, he claimed the platform is able to convert natural language descriptions of test scenarios into executable test scripts and is capable of automating the execution of these scripts for end-to-end coverage.
“So it simplifies testing for dynamic user interfaces and custom workflows, empowering non-technical users to create test scripts. It covers a wide range of scenarios across complex architectures, reduces manual tasks, and significantly streamlines testing efforts,” Wong explained.
Finally, another reason the solution stands out, according to Wong, is because of smart and scalable adaptive testing.
“It incorporates self-adapting capabilities to manage changes in application flows as well as self-healing capabilities to automatically adjust to user interface changes. By adapting to continuous software updates, TCoE 3.0 minimizes the need for frequent script maintenance due to minor changes, significantly reducing the time, effort, and costs involved in test script upkeep,” he said.
Rapid growth
The launch of the TCoE 3.0 platform caps off a busy year in AI by GienTech. Earlier this year, the company launched the “ORIGIEN AI+” initiative to that focused on AI testing in dataset construction, and model training.
Wong claimed the offering has seen a good uptake across various industries, including finance, energy, and manufacturing.
In April, GienTech signed a strategic cooperation agreement with Hong Kong Applied Science and Technology Research Institute (ASTRI).
“The first fruit of this collaboration,” as Wong put it, is the newly released Financial Intelligent Assistant, a toolkit built on GienTech’s AI agent technology framework and ASTRI’s RAG framework to help financial sector enterprises accelerate AI application testing, monitoring and development.
“In the highly digitised financial sector AI is experiencing large-scale adoption.”
– William Wong
Finally, earlier this month, GienTech unveiled the ORIGIEN Financial Large Language Model, which is tailored for the financial sector.
The model enhances financial insights and tests applications through targeted training and tuning with 700GB of financial data, “focusing on banking scenarios to ensure alignment with industry needs,” Wong said.
Founded in 1995, GienTech has specialised in digitalisation strategies and software testing solutions, focussing mainly on the financial services space, primarily across the APAC region.
It currently employs around 40,000 employees across China and in overseas markets and claims to serve around 800 financial institutions and roughly 160 Fortune 500 companies.
The company is more and more focussed on AI testing and GenAI-powered software solutions.
“With the explosive growth of technology, the application of AI is becoming increasingly practical, particularly in the highly digitised financial sector, where AI is experiencing large-scale adoption,” Wong said.
Wong added that the industry requires not merely AI products or models, but “a true realisation” of enterprise intelligence that transforms business models through AI, he concluded.
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