B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
26%
26% -- task completion rate for AI voice agents (τ-Voice benchmark, noisy conditions) (2026)
AI voice agents completed 26% to 38% of customer-service tasks under conditions with noise, accents, and interruptions in the τ-Voice benchmark.
- Represents the lower end of a 26% to 38% range under noisy, accented, and interrupted conditions
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
26%
Unit
Percentage
Data Vintage
2026
Entity
Sample Size
278
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
τ-Voice benchmark
Primary
Tier B
https://newmarketpitch.com/blogs/news/agentic-ai-phone-agents-startup ↗
Source Article
AI phone agents: which startup is ahead?
AI phone agents: which startup is ahead?
SUMMARY
Vapi is currently ahead in the AI phone-agent race, with Retell AI close behind and Synthflow emerging as the strongest third contender.
Vapi leads because it combines more competitive advantages than any rival: enormous call activity, more than one m…
Original Research
τ-Voice benchmark
· Original study ↗
Methodology
Range 26%-38% with noise, accents and interruptions; midpoint reported
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
AI voice agents (τ-Voice benchmark, noisy conditions): 26% task completion rate. Source: τ-Voice benchmark (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/tau-voice-benchmark-noise
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<blockquote cite="https://lighthousedata.io/data/tau-voice-benchmark-noise" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>26%</strong> -- task completion rate for AI voice agents (τ-Voice benchmark, noisy conditions)<br><small>Source: τ-Voice benchmark (2026) · <a href="https://lighthousedata.io/data/tau-voice-benchmark-noise" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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