Skippr vs Taurus
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Skippr compared with Taurus
| Detail | 
Skippr | 
Taurus |
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| What it does | Live AI teammates that demo software, onboard customers, and train teams
| Lead armies of AI agents sanely
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | GB
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free trial with 200 credits (no card required). Lite: $149/month (750 credits/month). Scaleup: $599/month (4,200 credits/month). Growth & Enterprise: from $2,000/month (custom credits, contract based).
| 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
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| Key features | - Knowledge base training with auto-product scanning
- Multi-step task automation and software operation
- Real-time voice communication in 10 languages
- Session recording and transcript generation
- Multi-mode operation (voice and text)
- Session Builder for agent configuration
- Instant Expert short sessions up to 10 minutes
- Structured sessions up to 60 minutes
| - 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
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| What makes it different | - Real-time agents that see and operate software like humans
- 24/7 availability for demos, onboarding and training
- Four specialist AI teammates for different use cases
- Pricing by session volume rather than seat count
- Support for 10 languages with real-time voice
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ▲ +1 (up) since last check | 31 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 30 | 30 |
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| Referring domains (Majestic) | 162 | 115 |
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5 details filled in for both companies.
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