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Matill vs Taurus

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

Matill compared with Taurus
DetailMatill logo MatillTaurus logo Taurus
What it doesAutonomous AI teammates for software teams Lead armies of AI agents sanely
StageNot given Not given
FoundedNot given Not given
Based inBR Not given
Pricing modelFree trial Freemium
PricingUS$120 per agent per month, with a 30-day free trial (card required, nothing charged until it ends). Larger teams pay less: the rate drops by $1 for each agent added through the ninth, settling at US$110 per agent from 10 onwards. You bring your own model key and pay the provider directly for tokens 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
  • AI software engineer agent
  • AI product manager agent
  • AI QA engineer agent
  • AI systems architect agent
  • AI SRE (Nadia Serrano)
  • GitHub, Linear, Slack and Microsoft Teams integration
  • Incident investigation workflow
  • Release verification
  • Granular permissions per agent
  • 30-day free trial with no credit card charge
  • 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 separate token metering—you bring your own model key and pay the provider directly
  • Agents operate only with permissions you explicitly grant and can revoke
  • All changes require human approval before reaching production
  • One price per agent regardless of specialization
  • Integrates with tools your team already uses
  • 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)Not checked yet no change since last check31 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)2530
Referring domains (Majestic)8115

5 details filled in for both companies.

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