Automated, standardized evaluation of voice AI service providers through real-time conversational testing. Our methodology ensures fair, transparent, and reproducible performance assessment across all participating providers.
This benchmark is developed and maintained by Dasha.ai, a leading voice AI platform company. We created this independent evaluation system to establish transparent industry standards and help organizations make informed decisions about voice AI solutions.
As voice AI specialists who understand the technical challenges firsthand, we're committed to providing objective, rigorous testing that benefits the entire industry - including our competitors.
Voice AI performance claims are often difficult to verify. We provide real-world, standardized measurements that organizations can trust when evaluating solutions.
Our deep understanding of voice AI systems - from latency optimization to conversation flow - enables us to create meaningful benchmarks that reflect real-world performance.
By establishing clear performance benchmarks, we help drive innovation and improvement across all voice AI providers, ultimately benefiting end users.
We test ourselves alongside all other providers using identical methodology. Our goal is accurate measurement, not self-promotion - the data speaks for itself.
We recognize that as a voice AI company, our involvement in this benchmark could raise questions about objectivity. Here's how we ensure fair and accurate testing:
All providers, including Dasha.ai, are tested using the same automated systems, network conditions, and measurement protocols.
Timing measurements are captured automatically by our testing infrastructure with no human interpretation or manual adjustment.
Our complete testing methodology is publicly documented and auditable. Any provider can verify our approach and results.
Results are published in real-time as tests complete. We don't cherry-pick favorable results or hide poor performance.
We apply proper statistical methods including error measurements and confidence intervals to ensure reliable comparisons.
We welcome scrutiny from industry participants and independent auditors to validate our testing methodology and results.
We employ an AI-powered testing agent that conducts natural phone conversations with voice AI services. Each test simulates a realistic customer interaction to evaluate real-world performance.
Our testing agent acts as a friendly customer calling to inquire about voice AI services:
The primary performance metric is response latency - the time between when our testing agent stops talking and when the voice AI service being tested starts talking.
What We Measure:
Testing Agent Stops Speaking → Provider AI Starts Speaking = Response Latency
This captures the critical "thinking time" of the voice AI system
Measured across multiple conversational turns for comprehensive assessment
Based on current average response latency (lower is better)
Secondary consideration of median latency and consistency scores
Only providers with recent successful tests appear in rankings
Rankings refresh automatically as new test results are available
Our performance thresholds are based on industry research and ITU G.114 standards for acceptable voice communication latency:
Excellent Performance: < 800ms average response time
Provides natural conversation feel with minimal perceived delay
Good Performance: 800-1200ms average response time
Acceptable for voice AI applications with slight but tolerable delay
Fair Performance: 1200-2000ms average response time
Upper limit before user experience significantly degrades
Needs Improvement: > 2000ms average response time
Noticeable delay that impacts conversation quality
For questions about our testing methodology, data accuracy, or to report issues with your service's evaluation, please contact our team. We are committed to maintaining fair, accurate, and transparent evaluation standards for the voice AI industry.
Documentation maintained by Dasha.ai
This methodology ensures consistent, fair evaluation of voice AI services. All testing is conducted automatically using standardized procedures to provide reliable performance comparisons across providers.