Apollo-1 vs Knotr
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Apollo-1 compared with Knotr
| Detail | 
Apollo-1 | K
Knotr |
|---|
| What it does | Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
| Your voice and skills in every AI tool you use
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| Stage | Established
| Startup
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| Founded | 2017
| Not given
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| Based in | US
| US
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Free: 1 Profile, 10 Skills, 50 Documents, 10 Artifacts, 1 Style Guide from Starter Pack, 100 Hosted Chat AI credits/month. Pro: $24/mo or $20/mo billed annually, 5 Profiles, 75 Skills, 500 Documents, 75 Artifacts, 1 Style Guide, 1,000 Hosted Chat AI credits/month. Max: $49/mo or $40/mo billed annual
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| Key features | - One integrated runtime combining neural and symbolic systems
- Deterministic policy enforcement before action
- Complete execution trace for every turn
- Natural language program authoring with code generation
- Consistent decisions from identical inputs
- CPU-based logic execution with lightweight language models
- Managed service and custom enterprise deployment options
| - Profiles to define voice, tone, and judgment
- Style Guides to enforce writing rules
- Knowledgebases to store trusted documents and notes
- Skills to package repeatable workflows
- Artifacts for versioned, shareable outputs
- Hosted Chat with custom runtime
- MCP integration with external tools
- Team workspaces with shared knowledge
- Skill Catalog for discovery and import
- Collections to group and present artifacts
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| What makes it different | - Symbolic logic governs decisions instead of neural weights
- Lower operational costs through CPU-based logic and lightweight models
| - Output sounds like you, not generic AI, because every tool reads the same profiles and style guides
- Stop re-uploading docs and rewriting instructions for each new tool
- Individual voice, shared standards on teams
- Built-in changelogs instead of Git for managing skills
- Works with any MCP-compatible AI client without vendor lock-in
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 20 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 4 |
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| Citation Flow (Majestic) | 33 | 25 |
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| Referring domains (Majestic) | 155 | 27 |
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6 details filled in for both companies.
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