Emtech has released QMT 2.3, a new version of its software testing platform for insurance carriers and InsurTechs. The update adds Autonomous Model Generation, Custom Test Cases and model-driven validation across legacy and modern enterprise systems.
QMT is built around Emtech’s patented Deterministic Knowledge Graph technology. The system creates a machine-readable representation of enterprise applications, which Emtech calls a Digital Blueprint.
The Digital Blueprint maps screens, workflows and business rules across an application. It also records data relationships, system decisions, integrations and other application behavior used during testing and validation.
QMT uses a model-first testing approach rather than generating individual automation scripts directly from AI prompts. AI supports application discovery and model creation, while deterministic processes generate repeatable tests from an approved system model.
QMT 2.3 applies this structure across mainframes and modern applications. It also supports APIs, databases, system integrations and documents within the same testing environment.
Emtech said insurance companies can use the platform during software development and modernization projects. The model is intended to reduce manual testing work and the maintenance required for large collections of individual automation scripts.
Autonomous Model Generation analyzes applications to identify screens and workflows automatically. It also detects business rules, decisions, data relationships and system dependencies before creating an initial application model.
Teams can review and modify those models after generation. The approved model then provides the basis for subsequent test creation, validation and documentation.
The new Custom Test Cases function allows business users, testers and quality engineers to create scenarios directly from the application model. Users don’t need to write separate automation scripts for each scenario.
Those tests can cover regression testing and regulatory requirements, along with customer journeys and defect reproduction. Test cases remain linked to the Digital Blueprint and the business processes represented in the model.
QMT 2.3 also extends model-driven testing to mainframe systems. Insurers can place legacy applications and newer systems within the same Digital Blueprint instead of maintaining separate testing structures.
Mainframe support includes green-screen navigation, field input and command entry. The platform also handles cursor positioning, function keys, screen verification and validation of dynamic terminal content and host responses.
This allows insurers to test business processes that cross several technology environments. A single workflow could include a mainframe application, web interface and API, followed by database or document validation.
Emtech said changes can be made to the underlying business model instead of updating numerous automation scripts separately. The company expects this structure to reduce long-term maintenance work while expanding regression testing coverage.
The Digital Blueprint was originally developed for test generation, impact analysis and system documentation. Emtech has also positioned it as a source of structured application knowledge for modernization work and enterprise AI systems.
Enterprise AI is only as reliable as the knowledge it is built upon. AI assists with discovering and organizing application information, while the Deterministic Knowledge Graph provides a structured basis for repeatable validation.
Toni Jardini, Chief Innovation Officer at Emtech
Emtech founder Alex Rodov said application knowledge at large enterprises is often distributed across source code, documentation and individual employees. He said the company’s longer-term objective is to maintain a continuously updated Digital Blueprint of how those systems operate.
QMT 2.3 is available immediately. Emtech is targeting insurance carriers and InsurTechs working on software quality, application modernization and enterprise AI projects.
