Virtuoso QA is a secure, agentic test automation platform for any browser-based application. Touchstone, our agentic assurance layer, turns your business requirements into tests, then runs, fixes and maintains them as your application changes. More than thirty specialised agents author, generate, triage and self-heal your functional and end-to-end tests, while a deterministic engine executes every run and your team approves every decision that matters. Every release comes with evidence of what was tested, what changed and who approved it. Release Insights shows execution risk and requirement coverage across every journey, and teams can export an Evidence Report in minutes rather than assembling one over weeks. That makes the platform a natural fit for regulated industries like financial services, insurance, healthcare, the public sector and more.
The mission is to set the standard of proof for software releases. AI generates software. Virtuoso QA generates the evidence to trust it.
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Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap.
Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery.
The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team.
Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required.
The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.
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NovaSynth
NovaSynth serves as an online platform designed for the evaluation of voice and chat AI agents. By establishing a connection through methods such as phone calls, LiveKit, or HTTP Chat, developers and QA teams can create distinct synthetic caller personas and outline various conversational scenarios. The platform allows for both individual and batch tests that can simulate interruptions, background noise, accents, and other unusual conditions. Additionally, NovaSynth captures recordings of sessions and traces, providing transcripts and evaluation results that teams can analyze to pinpoint failures and compare outcomes following any modifications to the agent. It facilitates thorough evaluation and regression testing both prior to and following deployment. The service operates on a credit-based system: users on the free plan receive 2,500 credits monthly, while the Pro version begins at $69 per month and includes 10,000 credits. Voice calls consume 100 credits per minute, text interactions utilize 12 credits each, and evaluations may require extra credits. To conduct testing, teams must set up an account and ensure they have a properly configured and accessible agent connection. Furthermore, this structured approach not only enhances the efficiency of testing but also aids in refining AI performance over time.
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NeoLoad
Software for continuous performance testing to automate API load and application testing. For complex applications, you can design code-free performance tests. Script performance tests in automated pipelines for API test. You can design, maintain, and run performance tests in code. Then analyze the results within continuous integration pipelines with pre-packaged plugins for CI/CD tools or the NeoLoad API. You can quickly create test scripts for large, complex applications with a graphical user interface. This allows you to skip the tedious task of manually coding new or updated tests. SLAs can be defined based on the built-in monitoring metrics. To determine the app's performance, put pressure on it and compare SLAs with server-level statistics. Automate pass/fail triggers using SLAs. Contributes to root cause analysis. Automatic test script updates make it easier to update test scripts. For easy maintenance, update only the affected part of the test and re-use any remaining.
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