withHuman vs Neuron7
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
withHuman compared with Neuron7
| Detail | 
withHuman | 
Neuron7 |
|---|
| What it does | The approval layer for AI agents
| AI agents for field service, technical support, and customer care
|
|---|
| Stage | Not given
| Established
|
|---|
| Founded | Not given
| 2020
|
|---|
| Based in | US
| US
|
|---|
| Pricing model | Freemium
| Contact for pricing
|
|---|
| Pricing | Open Source: free and self-hosted. Free: $0/month hosted plan with up to 5 members. Scale: $20 per user per month. Enterprise: Custom annual contract.
| Not given
|
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| Key features | - Tool call interception for all agent frameworks
- Automatic approval rules to prevent fatigue
- AI judge for complex rule evaluation
- Works with LangGraph, CrewAI, Mastra, Claude Agent SDK and more
- Open Agent Approval Protocol for framework independence
- Self-hosted or cloud-hosted deployment options
- Custom permission policies and organization controls
| - 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
|
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| What makes it different | - Framework-agnostic: works with any AI agent through the open Agent Approval Protocol
- No vendor lock-in: open source spec and SDKs let you swap providers without rewriting agents
- Comprehensive audit trail for accountability and compliance
- Meets reviewers where they work with multi-platform notifications
- Policy-based routing to eliminate approval bottlenecks
| - 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
|
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| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 30 ▼ −1 (down) since last check | 48 ▲ +1 (up) since last check |
|---|
| Trust Flow (Majestic) | 6 | 15 |
|---|
| Citation Flow (Majestic) | 28 | 35 |
|---|
| Referring domains (Majestic) | 48 | 249 |
|---|
5 details filled in for both companies.
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