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ChatPro AI vs Taurus

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

ChatPro AI compared with Taurus
DetailChatPro AI logo ChatPro AITaurus logo Taurus
What it doesCustom AI agents trained on your business data, deployed in minutes Lead armies of AI agents sanely
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree trial Freemium
PricingFree plan at $0/month with 20 message credits; Starter at $16/month ($190/year) with 2,000 message credits; Plus at $40/month ($470/year) with 5,000 message credits; Premium at $83/month ($990/year) with 10,000 message credits. 20% discount on yearly plans. Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
Key features
  • Train AI agents with files, websites, and YouTube content
  • Multi-language support with native responses
  • Multiple LLM models including GPT-5.1, Claude, and Gemini
  • Smart integrations to trigger actions and book appointments
  • Hierarchical agent trees with parent-child delegation and coordination
  • Container-isolated agent environments with Linux shell and persistent filesystem
  • Persistent agent memory and context between runs
  • Cron-based scheduled execution with overlap handling
  • Shared /shared folder for cross-agent file collaboration
  • Support for 30+ AI models from multiple providers
  • Web IDE with terminal access and five editor themes
  • Static site dashboards built and maintained by agents
  • Voice input and file attachment support
What makes it different
  • Build and deploy custom AI agents in minutes without coding
  • Automate 80%+ of repetitive conversations across departments
  • Voice and chat agents available 24/7 on your website
  • Double team capacity by automating customer and support interactions
  • Agentic tree structure where agents collaborate and share context unlike stateless tools
  • Fully isolated Linux containers for each agent with persistent filesystems
  • Persistent memory and context continuity across scheduled runs
  • Mix and match 30+ AI models freely within the same team
  • Pricing per fleet rather than per seat or per token overage
Community votes00
DR (Domain Rating by Ahrefs)4 +1 (up) since last check31 no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)2030
Referring domains (Majestic)25115

5 details filled in for both companies.

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