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Zara
✓ verifiedPaid
Data lab providing expert human data, RL environments, and contextual evaluations to train and assess AI models and agents.
6.3M visits/mo45K saves
Pricing
No public pricing
No public pricing
Basic: Free
Pro Teams: $12/member/mo (yearly)
Pro Personal: $18/member/mo (yearly)
No public pricing
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
Core features
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- ✦AI Agents
- ✦Conversation Builder
- ✦Campaign Manager
- ✦Omnichannel Messaging
- ✦Integrations
- ✦AI Meeting Note Taker
- ✦Screen Recorder
- ✦Automated Summaries and Action Items
- ✦Rich Commenting on Recordings
- ✦Integration with Meeting Platforms
- ✦Async Video Communication
- ✦Realm: RL environments and frontier evaluations
- ✦Cortex: contextual evaluation for production AI agents
- ✦Expert-demonstrated robotics training data
- ✦Benchmarks such as LongExtractionBench
- ✦Expert human data partnerships
- ✦Research lab on human data markets
- ✦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
Use cases
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- →Automate customer acquisition and support with AI-powered chatbots.
- →Manage and scale click-to-chat ads.
- →Personalize conversations with unified customer profiles.
- →Send and receive multi-channel rich media & texts across countries.
- →Drive business growth by engaging contextually and enabling self-serve.
- →Automatically record and transcribe meetings.
- →Share feedback asynchronously on designs and websites.
- →Resolve ad-hoc questions without lengthy calls.
- →Check-in on projects without disrupting the team.
- →Collaborate with clients and vendors without complex setups.
- →Train and evaluate frontier AI models
- →Improve agent performance in production
- →Source expert human data for AI labs
- →Gather demonstration data for robotics
- →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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