Apollo-1 vs Cogni
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 Cogni
| Detail |
Apollo-1 | C
Cogni |
| What it does | Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
| Memory that reasons
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| Stage | Established
| Not given
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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 plan at $0 USD; Pro plan at $5 USD per month.
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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
| - Entity-graph spreading activation for cross-vocabulary retrieval
- Works with any LLM model
- No LLM or GPU in retrieval path
- Point-in-time and windowed recall
- Timestamped memories
- Fixed recall cost as memory grows
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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
| - Reaches answers across unrelated documents that share no keywords, where vector search scores zero
- Deterministic retrieval with no model in the path, so results never vary between queries
- Constant per-query cost regardless of memory size, even at 32,000 words
- No infrastructure to run—no vector database, cluster, or GPU needed
- Works with any model, so small local models gain the most from better retrieval
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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 |
| DR (Domain Rating by Ahrefs) | 20 ● no change since last check | 4 ● no change since last check |
| Trust Flow (Majestic) | 11 | 2 |
| Citation Flow (Majestic) | 33 | 21 |
| Referring domains (Majestic) | 155 | 34 |
5 details filled in for both companies.
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