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Open-source AI email assistant that auto-labels mail, drafts replies in your voice and helps clear your inbox from web or Slack.
All-in-one research platform for reading, writing and managing papers; high traffic.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.
Free trial available
No public pricing
No public pricing
- ✦Automatic email labeling and categorization
- ✦Pre-drafted replies in your voice
- ✦Bulk unsubscribe and archive
- ✦Auto-files attachments to Drive/OneDrive
- ✦Works from web, Slack and Telegram
- ✦Open-source and self-hostable, SOC 2 Type 2
- ✦AI Search
- ✦Literature Review
- ✦AI Writer
- ✦Reference Manager
- ✦Chat with PDF
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦Voice AI with full customer context
- ✦AI-native Smart Inbox across channels
- ✦LiveCSI real-time satisfaction monitoring
- ✦Service Advisor Agent
- ✦Heat Case and Opportunity Agents
- ✦Mobile app
- ✦AI-assisted data annotation tools
- ✦Training-data platform (BasicAI Cloud)
- ✦Team and project management
- ✦Annotation services
- →Reaching inbox zero quickly
- →Drafting replies faster
- →Cleaning up subscriptions
- →Managing email without switching apps
- →Finding relevant research papers and getting research-backed answers.
- →Analyzing papers faster with accurate data extraction.
- →Generating and polishing academic content using AI.
- →Streamlining citation and reference management.
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Labeling images and data for ML models
- →Managing annotation teams and projects
- →Producing training datasets at scale