ERIUS PHONE vs Cogni
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
ERIUS PHONE compared with Cogni
| Detail | 
ERIUS PHONE | C
Cogni |
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| What it does | Virtual phone infrastructure for AI agents
| Memory that reasons
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Free trial
| Freemium
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| Pricing | Free trial: 14 days free. Starter: €40/month for 1 phone. Team: €129/month for 3 phones. Enterprise: custom pricing. Call minutes: €24/month for 100 minutes, €70/month for 300 minutes, €230/month for 1000 minutes. Android tablet: €69/month (on waiting list).
| Free plan at $0 USD; Pro plan at $5 USD per month.
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| Key features | - Real Android 13 OS with Samsung Galaxy S25 device profile
- HTTP API for tap, type, swipe, launch, install, read, screenshot, mic
- Google Play Store and alternative app installation
- Accessibility tree and screenshot reading for screen understanding
- Isolated containers with persistent app state between sessions
- One-to-one voice calls with synthetic voice
- APK upload and installation capability
- MCP server support for local integration
- Dashboard with device management and monitoring
| - 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 | - Real Android device in the cloud, not a simulator or emulator
- Agents interact via touchscreen like real users without app APIs
- Persistent isolated containers per agent phone with no sharing
- One-to-one voice calls enabling two-way agent communication
- Flat monthly pricing with no runtime metering unlike competitors
| - 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
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| Open source | Not given
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| Platforms | 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) | 8 ▲ +2 (up) since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 2 |
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| Citation Flow (Majestic) | 27 | 21 |
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| Referring domains (Majestic) | 25 | 34 |
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5 details filled in for both companies.
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