Evalgent Verified Customer Reviews (2026)

Virtuoso QA is an enterprise agentic test automation platform establishing the standard of proof for software releases. As AI accelerates development, testing must keep pace without compromising confidence. Virtuoso QA delivers this through a governed testing loop for any browser-based application: AI proposes tests, a deterministic engine executes them, a person approves what matters, and every test run leaves evidence. At its core is Touchstone, the agentic layer where specialised agents handle the operational work of testing. The Analyst converts documentation into source-cited test requirements and identifies coverage gaps, the Architect designs the test journeys that validate each requirement, and Autopilot builds those journeys with human approval at key stages. Agents learn your application through the Knowledge Base and follow your team’s testing standards through Agent Directives. As applications change, test fixes are proposed as reviewable diffs, so no test updates without human oversight.

AI coding tools have fundamentally changed how software gets built. Developers are shipping more code, faster, with less friction than ever before. But the organizations benefiting most from AI-accelerated development are running into the same wall: quality hasn't kept pace. More code means more surface area for bugs. More PRs means more review burden on senior engineers. More releases means more chances for regressions to reach customers. The bottleneck has moved from writing code to verifying it, and verification is still largely manual. Checksum is a continuous quality platform built for this reality. Its suite of AI agents autonomously generates, runs, and maintains tests across every layer of the software development lifecycle: end-to-end UI flows, API endpoint coverage, and PR-level CI validation, so engineering teams can move fast without sacrificing reliability. What sets Checksum apart: it doesn't wait for instructions. It works as a background agent, continuously monitoring your codebase, generating tests for what matters, and repairing broken tests as the product evolves. Seventy percent of test failures resolve automatically, eliminating the maintenance burden that causes most test suites to decay and get abandoned. Every test Checksum produces is real, Playwright code you own, submitted as a PR to your repository. No vendor lock-in. Teams keep full control. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents via /checksum slash commands. Testing happens before code review, not after. Generation and healing run on Checksum's cloud, consuming no LLM tokens or local resources. The bottom line: Checksum gives engineering teams the confidence to ship at the speed AI makes possible.

NovaSynth is an innovative online platform tailored for assessing voice and chat AI agents. It enables developers and quality assurance teams to connect via various methods, including phone calls, LiveKit, or HTTP Chat, to create unique synthetic caller profiles and design diverse conversational scenarios. The platform supports both individual and batch testing, allowing for the simulation of interruptions, background noise, accents, and other atypical conditions. Additionally, NovaSynth records sessions and traces, delivering transcripts and evaluation results that teams can scrutinize to identify failures and assess changes made to the AI agent. This facilitates comprehensive evaluation and regression testing both before and after deployment. The platform operates on a credit-based model: users on the complimentary plan are allocated 2,500 credits each month, while the Pro tier starts at $69 per month and offers 10,000 credits. Voice calls require 100 credits per minute, text interactions consume 12 credits each, and evaluations may incur additional credit costs. To initiate testing, teams need to register for an account and ensure their agent connection is properly configured and accessible. This systematic methodology not only streamlines the testing process but also contributes to the continuous enhancement of AI performance over time, ensuring that agents remain effective in real-world applications. As a result, NovaSynth empowers teams to maintain high standards in AI interaction quality.