Neuron7 vs Elpis
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Neuron7 compared with Elpis
| Detail | 
Neuron7 | 
Elpis |
|---|
| What it does | AI agents for field service, technical support, and customer care
| Portable context for terminal coding agents
|
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| Stage | Established
| Not given
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| Founded | 2020
| Not given
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| Based in | US
| Not given
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Not given
| Not given
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| Key features | - Service Expertise Graph built from case history
- Step-by-step diagnostic guidance adapted to technician role and experience
- Predictive issue identification
- Direct integrations with Salesforce, ServiceNow, SAP, and Microsoft
- Real-time learning and improvement from each case closed
- Multi-region service standardization
| - Context Ledger for curating admitted instructions, files and memory
- Deterministic context admission before model processing
- Workflows with Mother agent team design and checking
- Love Spot drawing board with Matilda companion
- Desktop app with theme customization
- Support for GPT, Claude and Gemini models
- Terminal and desktop app sharing state
- Portable context for terminal coding agents
|
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| What makes it different | - Deterministic guidance grounded in actual fixes your team has performed, not AI guesses
- Improves with every resolution, creating institutional knowledge at scale
- Fast deployment of weeks, not months, with pilots running quickly
- Levels the playing field so newly onboarded technicians match experienced ones
| - Deterministic context admission ensures agents see processed context before model receives it
- Context Ledger provides transparent curation of agent inputs
- Mother agent orchestrates multi-agent workflows with checking and merged results
- Collaborative drawing interface with AI companion
|
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 48 ▲ +1 (up) since last check | 7 ● no change since last check |
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| Trust Flow (Majestic) | 15 | 0 |
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| Citation Flow (Majestic) | 35 | 12 |
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| Referring domains (Majestic) | 249 | 6 |
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4 details filled in for both companies.
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