NovaSynth
NovaSynth is a web-based platform for testing voice and chat AI agents. Developers and QA teams connect an agent through a phone, LiveKit, or HTTP Chat connection, then define synthetic caller personas and conversation scenarios. Single or batch runs can exercise interruptions, background noise, accents, and other edge cases. NovaSynth records sessions and traces, with transcripts and evaluation results teams can review to identify failures and compare runs after agent changes. It supports evaluation and regression testing before and after deployment. Usage is credit-based: the free plan includes 2,500 credits per month, and Pro starts at $69/month with 10,000 credits. Voice calls use 100 credits per minute, text conversations use 12 credits each, and evaluation may consume additional credits. Teams need an account and a configured, reachable agent connection for testing.
Learn more about NovaSynth
Checksum.ai
Checksum is a continuous quality platform that autonomously generates, runs, and maintains tests so engineering teams can ship AI-generated code without trading speed for reliability.
Unlike copilots that wait for prompts, Checksum works as a background agent, detecting what needs testing, generating production-ready Playwright, and healing broken tests automatically. Seventy percent of failures resolve autonomously, keeping suites green without manual effort.
Built on fine-tuned data from 1.5+ million test runs, Checksum covers every layer of the SDLC: end-to-end, API, and CI testing from a single platform. Tests are delivered as standard Playwright code, submitted as a PR to your repo. No vendor lock-in.
Checksum integrates natively with Cursor, Claude Code, and 100+ coding agents via /checksum slash commands, so code is tested before a human ever reviews it. AI handles generation and healing on Checksum's cloud: no LLM tokens.
The result: ship faster, with confidence.
Learn more about Checksum.ai
Agent Testing by TestMu AI
Agent Testing by TestMu AI is a hosted AI-agent quality testing platform for teams building customer-facing conversational and multimodal agents. It tests chat, voice, inbound and outbound phone, video, and image agents by generating scenarios from product requirements, documentation, knowledge bases, Jira, and Confluence, then running simulated interactions against the target agent. More than 15 specialized evaluators assess responses for qualities such as accuracy, hallucination, bias, completeness, context awareness, and tone; chat and voice runs use nine quality metrics, while phone-call tests use more than 30. Reports include conversation-level evidence and a Green, Yellow, or Red readiness result to help QA, AI/ML, product, and compliance teams identify issues before release and compare agent behavior across changes. Teams can also use schedules and a command-line workflow for repeatable test runs and CI pipelines.
Learn more about Agent Testing by TestMu AI
Testsigma
4.4 out of 5 stars
(5 Ratings)
Testsigma is an AI-native quality intelligence platform that gives QA and engineering leaders the evidence to answer that question. It compares test coverage against what is actually being built and produces a release confidence score with known confidence bounds. When gaps are found, Testsigma closes the loop: AI agents generate the missing tests, run them with self-healing, diagnose failures, and file complete bug reports. For teams that need comprehensive test execution, Testsigma supports web, mobile, API, and Salesforce testing with cross-browser and cross-device execution at scale on real devices.
Testsigma serves mid-market and enterprise engineering teams across financial services, insurance, healthcare, manufacturing, retail, public sector, and technology. Recognized by Gartner in the Market Guide for AI-Augmented Enterprise Application Testing Tools and by Forrester in the Autonomous Testing Platforms Landscape.
Learn more about Testsigma