Your weekly roundup of the most important QA, software testing, and software delivery launches for banks and financial services firms, as well as investments, partnerships and other vendor news.
This week’s roundup ranges from new agentic quality engineering platforms and Oracle Cloud testing automation to API quality, test management updates and fresh research on untested code, as vendors continue to respond to the quality risks created by faster, AI-assisted software delivery
Qualitest rebrands as QualityAI
London-based Qualitest has renamed itself QualityAI. Vikul Gupta, the firm’s global CTO, wrote on LinkedIn that “this is more than a new brand.”
He added: “It reflects the way technology is changing, and the role quality engineering must play in that change.”
Gupta went on to explain that “AI is now part of how businesses design, build, test, operate, and scale technology. That creates huge opportunity, but it also introduces new complexity and new risk.”
QualityAI is focused on helping enterprises engineer quality from the start, across the full business and technology lifecycle.
Exavalu launches agentic QE platform
Exavalu has launched ExAite, an agentic AI platform designed to support quality engineering from requirements through to release.
The company said the platform uses AI agents to accelerate testing, reduce manual QA effort and improve quality oversight across software delivery programmes.
Exavalu positioned the launch around regulated industries, including insurance and financial services, where testing teams are under pressure to improve release speed without weakening governance.
The company said the platform is intended to support requirements analysis, test creation, automation and release validation within a more continuous quality engineering workflow.
KPMG India and Tricentis strike QA pact
KPMG in India and Tricentis have formed a strategic alliance focused on quality engineering for large organisations.
The partnership combines KPMG in India’s consulting and quality engineering capabilities with Tricentis’ software testing platform.
The companies said the alliance is aimed at helping enterprises modernise testing processes as they move further into cloud, AI and agile delivery models.
For banks and other regulated firms, the deal underlines the growing role of quality engineering as both a delivery accelerator and a risk-control function.
A broader analysis of this partnership can be found here.
Tech Mahindra launches agentic development services
Tech Mahindra has launched a new Agentic Development and Modernization Services portfolio aimed at enterprise application transformation.
The company said the portfolio includes an Autonomous Quality Fabric, designed to use autonomous quality assurance agents across DevOps pipelines.
Tech Mahindra positioned the launch around the modernisation of legacy application estates, intelligent operations and AI-enabled delivery models.
For QA and software testing teams, the move reflects a broader shift among services firms to package quality engineering as part of agentic software delivery rather than as a separate downstream testing function.
mabl adds new agent test-planning controls
mabl has introduced new functionality allowing users to edit test configuration directly while planning tests with the mabl agent.
The company said teams can now update settings such as application, environment, credentials and DataTable selections inside the same chat-based planning workflow.
mabl said the update is designed to combine natural-language test planning with more direct user control when teams need to make quick configuration changes.
The release reflects a practical direction for agentic testing tools: not just generating tests, but making them easier to review, adjust and govern before execution.
Katalon revamps StudioAssist and MCP Server tooling
Katalon has released new updates to Katalon Studio, including enhancements to StudioAssist, MCP Server tools and Windows application testing.
The company said StudioAssist now includes new AI execution options in local test execution, as well as automatic retry handling in Ask and Agent modes.
Katalon also expanded MCP Server support for variables and test object types, while adding further element properties for Windows app testing.
The update strengthens Katalon’s broader push to embed AI-assisted workflows more directly into test creation, execution and maintenance.
Tricentis expands Oracle Cloud testing push
Tricentis has expanded its focus on Oracle Cloud Applications testing, showcasing AI-powered Oracle testing capabilities at Ascend 2026.
The company said the initiative is aimed at helping enterprises accelerate Oracle transformation programmes while maintaining confidence in software quality.
Tricentis argued that Oracle Cloud environments are becoming harder to validate manually as organisations modernise finance, HR and other business-critical platforms.
The company said its Oracle testing capabilities are designed to improve automation, reduce release risk and support continuous validation across complex enterprise application estates.
Applitools highlights MCP testing workflow
Applitools has been promoting new testing workflows around its MCP server and Playwright Fixtures SDK.
The company said the approach is designed to help teams scale reliability in the agentic software development lifecycle, where AI-generated code increases the burden on verification.
Applitools positioned the workflow around the need to connect AI-assisted development with more reliable visual and functional validation.
For QA teams, the development points to a growing focus on MCP-based integrations as testing vendors look to connect quality tools more directly with AI agents and developer workflows.
Tricentis report warns on untested code
Tricentis has released its 2026 Quality Transformation Report, warning that many organisations are shipping untested code as AI accelerates software development.
The report is based on a survey of more than 2,500 CEOs, CIOs, CTOs, engineering leaders, DevOps leaders, QA leaders and software developers.
Tricentis said the findings point to a widening gap between software delivery velocity and testing maturity.
For banks and financial services firms, the research reinforces a familiar concern: AI may accelerate development, but without stronger quality engineering controls it can also amplify software risk.
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REGULATION & COMPLIANCE
Looking for more news on regulations and compliance requirements driving developments in software quality engineering at financial firms? Visit our dedicated Regulation & Compliance page here.
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