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Dashworks vs Taurus

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

Dashworks compared with Taurus
DetailDashworks logo DashworksTaurus logo Taurus
What it doesAI assistant for workplace questions Lead armies of AI agents sanely
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Freemium
PricingTeam Plan: $12 per seat per month or $10 per seat per month (paid yearly). Business Plan: $15 per seat per month or $12 per seat per month (paid yearly) with minimum 10 seats. Enterprise Plan: Contact us. 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
  • Real-time search across all company apps
  • Natural language question understanding
  • Source citations and knowledge base references
  • Custom AI bot creation for specific use cases
  • Slack and browser integration
  • Permission-based access control
  • Instant setup without data indexing
  • Multilingual support
  • Multiple LLM model options
  • Wide integration ecosystem
  • 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
  • No data duplication or indexing required for instant setup and maximum security
  • Customizable AI for every team and use case
  • Enterprise-grade security with minimal data handling
  • Reduces internal question overhead significantly
  • 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)45 −1 (down) since last check31 no change since last check
Trust Flow (Majestic)130
Citation Flow (Majestic)3830
Referring domains (Majestic)564115

5 details filled in for both companies.

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