Companies that test voice AI
17 published entries state testing of voice AI on their AI pages. They are headquartered in 7 countries and state 12 testing services between them.
Voice AI: Speech-driven assistants, IVR bots and voice agents including speech recognition and synthesis.
Showing 17 of 17. Default order: coverage score, then name. How the score works.
| Rank | Company type | AI products (as stated) | Services | Verified | |||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | DeviQA | Pure-play QA company | Poland, Warsaw | LLM applicationsAI agentsRecommender and ranking systemsPredictive ML modelsComputer visionVoice AI | 8 | 2010 | 16 | 2026-11-09 | |
| 2 | ImpactQA | Pure-play QA company | United States | LLM applicationsAI agentsComputer visionVoice AIRecommender and ranking systems | 9 | 15 | 2026-11-09 | ||
| 4 | BetterQA | Pure-play QA company | Romania, Cluj-Napoca | LLM applicationsAI agentsVoice AI | 9 | 2018 | 14 | 2026-11-09 | |
| 4 | TestDevLab | Pure-play QA company | Latvia, Riga | LLM applicationsAI agentsVoice AIComputer visionPredictive ML modelsRecommender and ranking systemsAutonomous and embedded AI | 5 | 2011 | 14 | 2026-11-09 | |
| 4 | TestingXperts | Pure-play QA company | United States | LLM applicationsAI agentsVoice AI | 10 | 14 | 2026-11-09 | ||
| 11 | Fulminous Software | IT services firm with a QA practice | India, Jaipur | Voice AIAI agentsAutonomous and embedded AI | 7 | 2019 | 12 | 2026-11-09 | |
| 14 | Lionbridge | Data and evaluation vendor | United States, Waltham | LLM applicationsVoice AIComputer visionRecommender and ranking systems | 5 | 1996 | 11 | 2026-11-09 | |
| 18 | Shaip | Data and evaluation vendor | United States, New York | LLM applicationsAI agentsVoice AI | 6 | 10 | 2026-11-09 | ||
| 23 | BugRaptors | Pure-play QA company | India | Computer visionPredictive ML modelsVoice AI | 4 | 2016 | 9 | 2026-11-09 | |
| 23 | Luxe Quality | Pure-play QA company | United States, McLean | Computer visionVoice AIPredictive ML models | 5 | 9 | 2026-11-09 | ||
| 29 | AIDX Tech | AI assurance and audit specialist | Singapore, Singapore | LLM applicationsAI agentsVoice AIComputer vision | 4 | 8 | 2026-11-09 | ||
| 29 | Applause | Crowdtesting platform | United States | LLM applicationsAI agentsVoice AI | 4 | 8 | 2026-11-09 | ||
| 29 | Frugal Testing | Pure-play QA company | India, Hyderabad | Voice AIComputer visionAutonomous and embedded AI | 4 | 8 | 2026-11-09 | ||
| 34 | Cognizant | IT services firm with a QA practice | United States, Teaneck | AI agentsVoice AIPredictive ML models | 4 | 7 | 2026-11-09 | ||
| 40 | QA Mentor | Pure-play QA company | United States, New York | Computer visionVoice AI | 2 | 2010 | 6 | 2026-11-09 | |
| 50 | Digital Divide Data | Data and evaluation vendor | United States, New York | LLM applicationsVoice AI | 3 | 5 | 2026-11-09 | ||
| 74 | Testbirds | Crowdtesting platform | Germany, Munich | Voice AI | 1 | 3 | 2026-11-09 |
Which services listed vendors state for voice AI
Count of entries on this page that also state each service. Built from the data at build time.
| Product type | LLM output evaluation | RAG pipeline validation | Prompt and model regression testing | Red teaming and adversarial testing | AI security penetration testing | Bias and fairness audit | Compliance and conformity assessment support | ML model validation | Training data and labeling QA | Performance and latency testing | Conversational flow testing | Production monitoring and drift testing |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Voice AI | 10 | 4 | 5 | 9 | 7 | 11 | 1 | 12 | 9 | 7 | 8 | 7 |
Related
Questions
What does voice AI testing cover?
Voice AI testing covers speech recognition accuracy, intent understanding, response correctness, speech synthesis quality, latency, interruptions and hand-off to a person. 17 published entries state that they test voice AI.
How are voice agents tested?
Testers run scripted calls with varied speakers, accents and background noise, then check what the agent understood, what it answered and how long it took. Recordings and transcripts are reviewed for errors and unsafe answers.
Which metrics are used to evaluate voice agent quality?
Common metrics are word error rate for recognition, intent accuracy, task completion, response latency, interruption handling and listener ratings of synthesised speech.
How do testers check voice agents against real-world conditions such as noise, accents and interruptions?
They record or synthesise test calls with background noise, different accents, fast or hesitant speech and users who talk over the agent. Results are broken down by condition so weak spots are visible.
How often should a voice agent be retested after launch?
After every change to the model, prompts, voice or telephony stack, and on a schedule using samples of real calls. Drift monitoring catches changes that no release note announced.
What is the difference between a voice AI testing service and a voice testing platform?
A service is testing done by the vendor's people for a client. A platform is software the client operates. This directory lists services; voice testing platforms without a services practice are listed as tool-only on the not-published page.