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Sybill

Sybill AI is an advanced AI call partner designed to help sales teams better understand their prospects and close more deals.
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Last verified 4 months ago
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Sybill AI is an advanced AI call partner designed to help sales teams better understand their prospects and close more deals.

Employees

51-200

AI Classification

SaaSProduct-Led

Sybill is an AI-powered sales assistant for account executives that automates CRM updates (Salesforce, HubSpot), generates call summaries, and drafts follow-up emails using an in-house RAG pipeline on top of GPT models. It targets B2B sales teams with a product-led growth motion anchored by a free tier and raised an $11M Series A in July 2024.

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Social Links

Linkedin

Competitors

OtterGongGong vs Fireflies

Sybill is one of 2,671 B2B companies in the Kustiq directory.

Sybill sits among 147 product-led companies in our SaaS directory.

Similar profiles: Loom, Betterworks, Appcues, and Avoma.

Both sit in the 51-200 headcount band. See Sybill vs Loom side by side.

Both sit in the 51-200 headcount band. See Sybill vs Betterworks side by side.

Both sit in the 51-200 headcount band. See Sybill vs Appcues side by side.

Segment benchmark

How Sybill compares with other Product-Led companies

Sybill is one of 147 Product-Led companies profiled in the Kustiq SaaS directory, which holds 343 SaaS companies in total. Every number below is computed from those profiles.

Sybill sits in the 51-200 headcount band. 62% of the 110 segment peers with a known team size are smaller. 28% of those peers share the same band.

The most common tech detections across the 52 peers with a visible stack are Cloudflare (50%), Google Analytics (25%), and Next.js (17%). Sybill lists none of them.

Among the 59 segment companies with disclosed funding, Growth is the most common stage (54%).

The median founding year across 47 peers with a known founding date is 2015.

San Francisco is the most common HQ city in this segment, home to 14% of the 35 peers with a known location.

Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.

How Kustiq built this profile

How this profile was built

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
  • Claude only picks the buckets. It never decides facts.
  • 12-factor churn engine. Deterministic score, zero LLM at scoring time.
  • SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).

This profile was built from 1 rendered page of sybill.ai and search coverage across the live web on .

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

Frequently asked questions

How many employees does Sybill have?
Sybill has 51-200 employees, based on public sources read at the last profile run. That makes it larger than 62% of the 110 profiled Product-Led peers with a known team size.
What industry is Sybill in?
Sybill is a SaaS company in the Product-Led segment.
Who are Sybill's competitors?
Public sources list Otter, Gong, and Gong vs Fireflies as Sybill competitors. The list comes from live search coverage at the last profile run, not a static database.
Is this profile actually verified, or just generated by AI?
The structured fields come from a hybrid pipeline. Facts (location, employee range, funding, tech stack) come from live web rendering plus Serper search across the company site, LinkedIn, press, and GitHub. Claude only picks the buckets: vertical, segment, growth signal. It never decides facts. Contact emails on full profiles pass an SMTP RCPT TO handshake at delivery time.
How is this different from a contact database?
Kustiq profiles one company at a time, live from the web when you ask. Tools like Apollo and ZoomInfo rent access to a 50M+ row pool that ages every quarter. Different shape, different price, and the freshness story is the opposite.
What does "track this profile" do?
Tracking saves Sybill to your free dashboard so you can re-run the full pipeline on it anytime. Free with a signed-in account: 3 profiles a week, no card.
Can the profiled company remove this page?
Any company in the Kustiq directory can request removal at /trust#removal. Removed profiles return 410 Gone and stay out of search.
How fresh is the data?
Sybill was last verified 4 months ago. The data refreshes when anyone re-runs the profile (the Re-run now button above does exactly that), and we run the SMTP handshake on contacts when you ask for them, not when we cached the row. The freshness card above the profile shows the exact relative date for the current visit.
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