For sales reps and RevOps teams, Sybill AI is a call-intelligence assistant that reads verbal and non-verbal cues on sales calls to auto-generate summaries, follow-up emails, and CRM updates.

Presence & Market Position

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SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Sybill is working to become the deal-intelligence layer that understands every sales interaction and carries that context into follow-up work, CRM records, and pipeline decisions. Its broader GTM footprint is still forming, with the product story expanding from call summaries and behavioral cues into an assistant that works across meetings, email, Slack, and CRM data. The company now presents itself as both a replacement for established revenue-intelligence tools and a context source for other agents, giving it an emerging position between meeting intelligence, sales execution, and agent-accessible deal memory.

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Business Profile

Sybill was founded in 2020 and has grown into an independent, 54-person sales-intelligence company. The record carries $12.6 million in total funding and more than $1 million in reported ARR for 2024. Its product began with sales-call analysis, using verbal and nonverbal signals to create summaries, follow-up emails, and CRM updates. The current business is widening that base into a broader deal workspace spanning conversations, email, CRM records, Slack context, pipeline analysis, and sales collateral creation.

Founded
2020
Employees
54
Funding
$12.6M
ARR
~$1M+ (2024)
Status
Independent
Scale stage
Growth
Type
Agent-Native GTM
GTM categories
Selling

Agent Readiness

85A
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Sybill exposes sales context through an alpha REST API and an OAuth-based MCP server. Compatible assistants can query conversations, deals, people, companies, emails, and CRM records, then retrieve summaries, transcripts, risks, and action items. Ask Sybill extends the same context into pipeline analysis, scheduled prompts, task execution, and asset creation, making the product both a first-party sales agent and a data source for outside agents.

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