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Pricing
No public pricing
No public pricing
No public pricing
Free: $0
Starter: $31
Team: $82
Popular: $125
No public pricing
Free trial available
Core features
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- ✦AI-powered enablement
- ✦Sales content management
- ✦Learning & coaching
- ✦Buyer engagement
- ✦Content automation
- ✦Enablement intelligence
- ✦Digital Sales Rooms
- ✦LiveDocs
- ✦LiveSocial
- ✦Seismic for Meetings
- ✦AI-powered sales workflows
- ✦Sales engagement
- ✦Deal management
- ✦Conversation intelligence
- ✦Rep coaching
- ✦Sales forecasting
- ✦LinkedIn outreach automation
- ✦Cold email automation
- ✦Sales engagement CRM
- ✦Automated email warmup
- ✦AI personalization
- ✦Lead management
- ✦Sender rotation
- ✦Integrations
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
Use cases
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- →Readying sales reps with training, coaching, and content to close deals.
- →Growing revenue and exceeding quota by automating tedious tasks.
- →Crafting more effective content with AI suggestions and analytics.
- →Building a team of confident customer service agents through smarter training and content delivery.
- →Prospect and manage accounts effectively
- →Manage and guide deals to closure
- →Retain and expand customer relationships
- →Coach and improve sales team performance
- →Forecast and plan revenue accurately
- →Automate LinkedIn connection requests and follow-ups.
- →Send personalized cold emails at scale.
- →Manage leads and track interactions in a centralized CRM.
- →Improve email deliverability with automated warmup.
- →Personalize outreach using AI to insert company details and pain points.
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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