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Pricing
Free: $0 /month
Solo: $35 /month
Startup: $499 /month
Advanced: $1,499 /month
Enterprise: from $2,999 /month
Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
No public pricing
No public pricing
Core features
- ✦AI Demo Automation (AI-gen content, translation, voiceover, avatars)
- ✦Interactive Demo Creation (Screenshot & HTML-based capture)
- ✦No-code Editor for Customization and Personalization
- ✦Advanced Analytics & Insights
- ✦Sandbox & Demo Center Environments
- ✦Extensive Integrations with Business Tools
- ✦Fin AI Agent for automated customer support
- ✦Omnichannel support (inbox, tickets, phone, help center)
- ✦AI-enhanced inbox for agent productivity
- ✦AI Insights & Reporting for performance optimization
- ✦Workflow automation with a visual builder
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- ✦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
- →Product Marketing: Boost product adoption and generate qualified leads.
- →Pre-Sales & Sales: Craft and customize demos to close more deals.
- →Customer Success: Reduce support tickets and boost user retention.
- →Product Team: Validate product ideas and share updates effectively.
- →Partnership Team: Educate affiliates and manage demo assets.
- →Onboarding & Training: Foster quicker understanding and reduce onboarding time.
- →Providing instant customer service with Fin AI Agent
- →Managing customer inquiries across multiple channels
- →Automating support workflows to improve efficiency
- →Empowering support agents with AI-powered tools
- →Gaining insights into customer service performance
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- →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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