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Pricing
Free: $0/mo
Starter: $20/mo
Growth: Custom
No public pricing
No public pricing
No public pricing
Core features
- ✦AI-powered pipeline creation automation
- ✦Automated meeting administration and CRM updates
- ✦Automatic conversation tracking (emails, meetings)
- ✦Instant prospect enrichment
- ✦Automated smart sequences for follow-ups (soon)
- ✦Automated meeting prep and context summarization
- ✦Automatic note-taking and detail extraction during calls
- ✦Auto-generation of updates, follow-ups, and next steps
- ✦Unified GTM data ingestion (product usage, emails, calls, site activity)
- ✦No-code workflow automation
- ✦Build, manage, and run autonomous AI agents
- ✦Marketplace for tools, agent templates, and knowledge embeddings
- ✦Agent performance monitoring
- ✦Concurrent AI agents
- ✦Multiple Vector DBs
- ✦Multi-LLM Support
- ✦Agent & Tool Memory
- ✦Action Console
- ✦Resource Manager
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
Use cases
- →Founders and early-stage sellers building and managing sales pipelines.
- →Sales teams looking to automate CRM busywork and focus on closing deals.
- →Revenue operations teams needing a unified system for GTM data, reporting, and workflows.
- →Businesses aiming to enrich leads and handle outbound outreach within their CRM.
- →Teams wanting to automate meeting preparation, note-taking, and follow-ups.
- →Companies seeking to unify customer data from various sources (product usage, emails, calls, site activity).
- →Build autonomous apps
- →Automate business processes using AI agents
- →Coding projects using SuperCoder agent template
- →Automate Twitter posting using AI and image generation
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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