New rules
for testing
AI.
New rules for testing AI. And AI-powered testing for everything else.
Two distinct capabilities in one practice: a new methodology for validating AI and agentic systems that traditional QA cannot handle, and three proprietary tools that make testing traditional software dramatically faster.
Three proprietary tools.
Each built for a distinct quality engineering challenge. Use one or all three.
TestForge AI
Code-first AI test automation that writes, runs, and repairs itself.
TestForge AI is our proprietary AI-powered test automation framework. It generates test cases from user stories and acceptance criteria, executes them across browsers and APIs, and self-heals broken selectors automatically when the UI changes. Intelligent CI/CD prioritisation means only the tests relevant to each code change run in every pipeline.
QA Studio
Visual, no-code test design for teams that need to move fast.
QA Studio is our low-code/no-code visual test design platform. Business analysts and QA leads design, manage, and execute test scenarios without writing code. AI generates test data, boundary cases, and edge scenarios automatically from plain-language requirement descriptions. Real-time reporting connects directly to your project management tools.
Sentinel
Autonomous AI agents that test your AI systems, around the clock.
Sentinel is our agentic quality engineering platform built specifically for AI systems. It deploys autonomous testing agents that continuously evaluate your LLM outputs for quality degradation, probe for prompt injection and jailbreak vulnerabilities, track model drift between versions, and file issues automatically with full evidence packages. Purpose-built for the era of non-deterministic software.
Where we deliver.
Healthcare ISVs
HIPAA-compliant AI validation, clinical decision support testing, compliance audit trails.
FinTech & Banking
Regulatory-grade test evidence, fraud model validation, high-frequency regression.
Insurance
Claims AI validation, underwriting model testing, adverse action audit trails.
Enterprise SaaS
Multi-tenant test isolation, AI feature validation, continuous quality monitoring.
Results we have delivered.
Manual regression suite taking 3 full days to run, blocking a weekly release cycle. Test maintenance consuming 40% of QA team capacity. Moving to daily releases was blocked on test infrastructure.
Deployed TestForge AI with AI-generated test cases, self-healing selectors, and intelligent CI/CD prioritisation. Regression suite restructured around risk-based test selection.
AI clinical decision support system with no validation framework. Failing compliance audits. No mechanism to detect when model updates degraded output quality. Security team flagging prompt injection risk.
Deployed Sentinel for continuous AI output evaluation, golden dataset regression, automated red-teaming, and full audit trail generation for regulatory submission.
Ready to modernise your QA?
Tell us about your quality challenges, whether that is testing AI systems or accelerating traditional QA. We will respond within one business day.