Independent data on AI voice agents
Free citable benchmarks pulled from CallSphere's 6 production voice + chat agent platforms — 90+ tools, 115+ database tables. Reuse with attribution.
After-Hours Call Economics 2026
16 citable benchmarks on what missed after-hours calls cost SMBs by vertical — capture rates, lost-lead value, and recovery economics from production AI voice data.
Voice AI Industry Statistics 2026
32 citable benchmarks across response time, resolution rate, no-show recovery, after-hours capture, and CAC payback — built from 6 production AI voice platforms.
In progress
More reports are being prepared from the same production dataset. Planned releases:
- · Multilingual resolution benchmarks (Spanish-first markets) — expected Q3 2026.
- · No-show recovery: outbound vs SMS reminders — expected Q4 2026.
Citation policy
All CallSphere research is free to quote and embed. Please attribute asSource: CallSphere Research, callsphere.ai/researchwith a link back to the underlying report.
How the data is collected
Benchmarks are computed from the live call and chat logs of CallSphere's 6 production AI agent platforms: healthcare (HIPAA-compliant intake and scheduling), real estate, salon, sales, IT helpdesk, and after-hours answering. Agents run a shared library of 90+ function tools (booking, payment capture, CRM upsert, knowledge-base retrieval, SMS handoff, calendar sync, and more), speak 57+ languages, and answer in under 1.5 seconds end-to-end. The dataset covers 50 US states and rolls forward monthly. PII is redacted before aggregation and all reported numbers are rounded to two significant figures.
Why CallSphere research is different
- Built from production traffic, not vendor surveys or analyst panels.
- Covers 6 verticals, 90+ tools, and 115+ database tables.
- Refreshed monthly; every chart links back to the underlying methodology.
- Free to cite and embed with a single-line attribution.
Get notified of new research
New reports publish a few times a year. Subscribe to the CallSphere newsletter for a heads-up when fresh benchmark data lands, or request the full underlying dataset directly.