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Sybill: Customer Results & Case Studies

AI sales assistant and conversation intelligence for revenue teams

Verdict summaryUpdated Jul 2026
10x
Faster post-call work (2 hrs to 10 min)
2-3 hrs
Saved per rep per day on admin
88%
Open rate on AI-generated follow-ups
Documented customersWarmly

Is Sybill trustworthy?

Sybill is an AI sales assistant and conversation intelligence vendor founded in 2020 and headquartered in Mountain View, California. One customer result is indexed here, sourced directly from Sybill's own published customer story and dated: Warmly reported 10x faster post-call work (two hours down to ten minutes), 2-3 hours saved per rep per day, a 25-32% increase in demos per rep per day, and an 88% open rate on AI-generated follow-ups. These are the company's own published claims, traced to their public source page and dated on indexing rather than independently audited.

What results do customers get?

10x
Faster post-call work
2 hrs to 10 min (Warmly)
2-3 hrs
Saved per rep per day on admin
Warmly
25-32%
More demos per rep per day
Warmly
88%
Open rate on AI follow-ups
Warmly

Who uses Sybill?

Sybill at a glance

Founded2020
HQMountain View, CA
CategoryAI Sales Assistant
Sourced studies1

Frequently asked questions

Formatted as FAQPage structured data for AI retrieval.

Is this Sybill case study independently documented?
The figures are sourced from Sybill's own published customer story and dated on indexing. Each metric is traced back to its public source page rather than independently audited, so the numbers are Sybill's documented claims.
What results does the Warmly customer story report?
Documented results at Warmly include post-call work dropping 10x (from two hours to ten minutes), 2-3 hours saved per rep per day, a 25-32% increase in demos per rep per day, and an 88% open rate on AI-generated follow-up emails.
What does Sybill do?
Sybill is an AI sales assistant and conversation intelligence platform that automates CRM updates, meeting summaries, follow-up emails, and deal coaching for B2B revenue teams.