Sybill
Also known as: Sybill AI, Ask Sybill
AI sales assistant and deal copilot that records calls, writes summaries and follow up emails, autofills the CRM, and builds a context graph of every deal as shared memory.
Sybill is an AI sales assistant and deal copilot for revenue teams, built to take the administrative load off account executives. It records and transcribes sales calls in more than one hundred languages, then produces intelligent summaries structured around frameworks like MEDDPICC, BANT, and SPICED that capture budget, buyer, competition, timeline, objections, and next steps. What sets it apart from plain notetakers is behavioral understanding: Sybill maps the emotional journey of each participant from verbal and non verbal cues and can flag the silent champion in a multi party call. Founded in 2020 by a team from Stanford, Harvard, and MIT, it has raised about fourteen and a half million dollars led by Greycroft and serves more than five hundred customer teams.
After each call, Sybill clears the rep's to do list. It autofills the CRM with call notes, deal updates, and contact details at the field level, pushing the same summaries into Slack, and it drafts a personalized follow up email in the rep's own voice that references what was discussed and attaches relevant collateral. Before a call, it sends an automated briefing pulling context from prior conversations and similar deals that closed. The company positions this against revenue intelligence tools like Gong and Clari and notetakers like Fathom and Fireflies, arguing that most rivals surface insight for decisions while Sybill also takes the action.
The newer layer is a context graph that maps how buyers, products, playbooks, deals, and reps connect across every channel and conversation, described as a living map updated after each interaction rather than a static database. Sybill frames this as shared memory: every deal, objection, and selling pattern is remembered so reps, agents, and workflows run on the same understanding and nothing walks out the door when a rep leaves. On top of it, Ask Sybill answers natural language questions across meetings, calls, emails, CRM, and Slack, deal inspection flags at risk deals and predicts outcomes, and the platform ranks slides and demos by how much they resonate with buyers. It carries SOC 2, ISO 27001, GDPR, and PCI compliance.
Pricing is public and per user. A free tier includes unlimited call recordings and transcripts plus Ask Sybill across meetings and emails, Pro runs about thirty six dollars per user a month for automating sales admin, and the most popular Business plan is around one hundred eight dollars per user a month, adding full CRM integration, unlimited credits, and the connected revenue context layer of deals, CRM, Slack, and agents. Enterprise is custom. Credits meter certain actions, with top up bundles available. The main caveat reviewers raise is that Sybill's most valuable layer assumes a work email, a supported CRM like Salesforce or HubSpot, and a Zoom based motion, which fits established revenue teams better than solo sellers on Gmail and Google Meet.
Vendor details
Canonical URL
https://www.sybill.ai
Category
GTM / revenue agent
Subcategory
AI sales assistant and conversation intelligence (deal copilot)
Funding status
Independent. Founded in 2020 by Gorish Aggarwal and a team from Stanford, Harvard, and MIT, Sybill has raised roughly $14.5 million, including an $11 million Series A led by Greycroft with Neotribe, Powerhouse, and Uncorrelated Ventures. It reports more than 500 paying customer teams across 30 plus countries.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Records calls out of the box and integrates across four major CRMs (Salesforce, HubSpot, Zoho, Dynamics), Slack, email, calendar, and dialers, imports recordings from other tools like Gong, and acts by writing field level updates into the CRM and pushing summaries into Slack. Google single sign on.
In practice
You spend hours after every call on CRM updates and recaps. Sybill records the call, summarizes it around MEDDPICC, autofills your CRM fields, and drafts a follow up email in your voice.
You cannot tell which deals are quietly slipping. Sybill inspects your pipeline, flags deals with no confirmed next step or a missing economic buyer, and predicts which ones are at risk before they stall.
Institutional knowledge leaves when a rep does. Sybill's context graph remembers every deal, objection, and winning pattern as shared memory, so new reps and agents inherit what the team already learned.
Sources & related URLs
Related / legacy domains
Capability coverage
6.5 / 14 capabilities · 46%
| Integrations & Tool CallingIntegrates across four major CRMs (Salesforce, HubSpot, Zoho, Dynamics), Slack, email, calendar, and dialers, imports from other recorders, and acts by writing field level updates into the CRM, strong integration, though concentrated in the CRM and communication stack rather than the broadest connector ecosystem. | Partial |
|---|---|
| Workflow OrchestrationOrchestrates post call and deal workflows (summaries, CRM updates, follow ups, collateral) and runs agents connected to a shared memory, real orchestration of the deal admin motion, though scoped to sales workflows rather than a general orchestration engine. | Partial |
| Knowledge Grounding & RAGAsk Sybill answers natural language questions grounded across the full corpus of meetings, dialer calls, emails, CRM, and Slack, and the context graph grounds every recommendation in how deals actually evolved, a comprehensive grounding capability that is a headline of the product. | Full |
| Human Oversight & GuardrailsOperates as a copilot that drafts follow up emails and CRM updates for the rep to review and edit before they go out, keeping a human in control, a real oversight surface, though there is no runtime guardrail engine. | Partial |
| Security, Identity & GovernanceCarries SOC 2, ISO 27001, GDPR, and PCI compliance, an unusually broad certification set, with Google single sign on, a strong security posture, though enterprise identity and governance controls beyond SSO are not fully detailed. | Partial |
| Observability & AuditabilityProvides comprehensive deal and conversation observability: deal inspection with risk flags and outcome prediction, behavioral and engagement analysis of every participant, pipeline pattern analysis, weekly reports, meeting highlight reels, and slide resonance tracking, deep visibility across the deal cycle. | Full |
| Memory & State PersistenceBuilds a context graph explicitly framed as shared memory, a living map that remembers every deal, objection, and selling pattern and updates after each interaction so reps, agents, and workflows run on the same persistent understanding, a strong explicit operating memory, though a memory feature within the assistant rather than a standalone memory platform. | Partial |
| Deployment & Data ResidencyDelivered only as a cloud SaaS platform with no self host, on premises, or data residency deployment option documented. | Unable to verify |
| Prebuilt Agents, Templates & PacksShips out of the box prompts for deal strategy, multi threading, and coaching, framework templates (MEDDPICC, BANT, SPICED), and prebuilt agents connected to the shared memory, reusable building blocks, though configured per team rather than an open marketplace. | Partial |
| Triggers & Channel CoverageTriggers internal actions and alerts from conversation and deal signals (risk flags, missing next steps, pattern based prompts) and drafts follow up emails, real triggering, though it is a deal copilot rather than a multichannel outbound engine. | Partial |
| Model Flexibility & RoutingRoutes work across a combination of internal and external models (LLMs, entity detection, and other natural language models) for different tasks, internal multi model routing, though users do not choose or bring their own model. | Partial |
| APIs, SDKs & MCP ExtensibilityOffers prebuilt integrations across the CRM and communication stack, but no public developer API, SDK, or MCP server for building on the platform is documented. | Unable to verify |
| Testing, Debugging & OptimizationRanks and optimizes slides and demo screens by measured buyer resonance and surfaces winning behaviors for coaching, a real optimization capability, though focused on content and rep performance rather than agent evaluation. | Partial |
| Browser & Computer UseJoins meetings to capture and analyze audio, video, and screen shares, but this is meeting capture rather than agent driven browser automation or general computer use. | Unable to verify |
Pricing
Free tier · Pro ~$36/user/mo · Business ~$108/user/mo (most popular) · Enterprise custom · credit-metered actions
Per-user monthly subscription across Free/Pro/Business/Enterprise tiers, with credits metering certain AI actions (5,000-credit top-off bundles, optional auto top-off); free, paid, and admin seat types
Included quota
Public, per-user tiers. Free ($0): unlimited call recordings and transcripts, Ask Sybill across meetings/dialer calls/emails, build deal context. Pro ~$36/user/mo (some listings $30): automate sales admin, analyze deals. Business ~$108/user/mo (some listings $90, most popular): full CRM integration, unlimited credits, revenue context layer (deals, CRM, Slack, agents on shared memory), CRM integration in Ask Sybill. Enterprise (custom): unlimited credits, boutique support. Credits meter certain actions; 5,000-credit top-off bundles and auto top-off available. Mixed free/paid/admin seats and workspaces. SOC 2, ISO 27001, GDPR, PCI.
What is public
All tier prices (Free, Pro ~$36, Business ~$108) and their inclusions are public; only Enterprise is custom. Minor price variance across sources ($30-$36 Pro, $90-$108 Business).
Billing mechanics
Per-user monthly subscription; credits meter some AI actions (top-off bundles/auto top-off); Business and Enterprise include unlimited credits; free/paid/admin seat types.
Cost watchouts
Credits on Pro can deplete (top-off bundles needed); the full value effectively requires a supported CRM and Zoom; per-seat costs scale with team size.
Variable cost rationale
Per-user monthly pricing is predictable, but certain AI actions consume credits on lower tiers, so heavy use can require top-off bundles or an upgrade. Business and Enterprise include unlimited credits, which caps exposure for larger teams; overall variability is moderate and driven mainly by per-seat count and credit usage on Pro.
Additional watchouts
The highest-value features (field-level CRM autofill, full context layer) require a work email, a supported CRM (Salesforce/HubSpot/Zoho/Dynamics), and typically a Zoom motion; Gmail/Google Meet and solo users get less. Credits can run out on Pro. ChatGPT-style interface has a learning curve; call-type misclassification noted.
Overage / add-ons
Certain AI actions consume credits; when a user runs low, an admin buys 5,000-credit top-off bundles or enables auto top-off. Business and Enterprise include unlimited credits.
Sales call required
No — self-serve available
Free / trial
Free tier ($0/user): unlimited call recordings and transcripts, Ask Sybill across meetings, dialer calls, and emails, build deal context.
Lowest paid plan
Pro at ~$36/user/month (some listings $30): deal context to automate sales admin and analyze deals; everything in Free plus more.
Commercial notes
Positioned as a lower-cost, stronger-AI alternative to Gong. Business tier is the sweet spot (full CRM integration + unlimited credits + shared-memory context layer). Best value for established revenue teams on a supported CRM and Zoom.
Key ambiguities
Exact Pro/Business prices vary slightly by source; per-action credit costs and Enterprise pricing are not fully public.
Cancellation / refund
Monthly per-user tiers; Free tier available before paying. Specific cancellation/refund terms not detailed.
Support SLA / resale
Email/standard support on paid tiers; boutique support on Enterprise. SOC 2, ISO 27001, GDPR, PCI compliant.
Missing data
Minor price variance ($30 vs $36 Pro; $90 vs $108 Business) across sources; exact credit costs per action and Enterprise pricing not fully detailed.
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