ERIUS PHONE vs Exabase
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 Exabase
| Detail | 
ERIUS PHONE | 
Exabase |
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| What it does | Virtual phone infrastructure for AI agents
| Context infrastructure for AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
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| Based in | Not given
| GB
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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).
| Not given
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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
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
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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
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 8 ▲ +2 (up) since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 11 |
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| Citation Flow (Majestic) | 27 | 32 |
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| Referring domains (Majestic) | 25 | 122 |
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4 details filled in for both companies.
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