Isonapse vs AstroSafe
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Isonapse compared with AstroSafe
| Detail | 
Isonapse | 
AstroSafe |
|---|
| What it does | The governance layer for AI agents
| Kid-safe AI infrastructure and services for children's products
|
|---|
| Stage | MVP
| Not given
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| Founded | 2026
| Not given
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| Based in | CH
| GB
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| Pricing model | Not given
| Not given
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| Pricing | Agent Hook for Claude Code (public beta, available now), Community Edition (public beta, early September 2026, free), Enterprise Edition (Q4 2026)
| Not given
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| Key features | - Policy-based rule definition for agent actions
- Checkpoint enforcement before every action
- Tamper-evident signed audit ledger
- Vendor-neutral across models and harnesses
- Deterministic decision-making without LLMs
- Offline enforcement without network connectivity
- Budget caps and cost control
- Data tokenization and secret placeholder support
- One-click installation for Claude Code
| - Aegis safety middleware for GPT, Claude, Gemini, Llama and other models
- Custom AI model design and training for specific domains and use cases
- Enterprise AI infrastructure with private deployments and scalable inference
- Safety-readiness sprint audits mapping gaps against COPPA, GDPR-K and EU AI Act
- Independent benchmark scoring AI models on kid-specific scenarios
- Independent benchmark for kid-safe AI apps scoring moderation and parental controls
- Age-aware response tuning adapted to each child's developmental stage
- Tamper-proof parental controls that children cannot circumvent
- Privacy-by-design architecture without data profiling or training on children
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| What makes it different | - Neutral layer enforcing policies across any agent, model, or harness
- Self-hosted on your hardware with no telemetry or cloud dependency
- Cryptographically verified audit trail you can check offline
| - Purpose-built for children rather than generic adult AI systems adapted for kids
- Independent, vendor-neutral benchmarks for kid-safe AI with open methodology and quarterly updates
- Full end-to-end services from custom model training to App Store launch
- Years of experience shipping safe consumer products for families
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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 |
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| DR (Domain Rating by Ahrefs) | 5 ▲ +5 (up) since last check | 42 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 28 |
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| Citation Flow (Majestic) | 24 | 42 |
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| Referring domains (Majestic) | 64 | 499 |
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4 details filled in for both companies.
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