AstroSafe vs Orgabot
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
AstroSafe compared with Orgabot
| Detail | 
AstroSafe | 
Orgabot |
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| What it does | Kid-safe AI infrastructure and services for children's products
| AI agent orchestration platform that models workflow with triggers, actors, stages, gates, permissions, and outcomes
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| Stage | Not given
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| Founded | Not given
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| Based in | GB
| US
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - 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
| - Role-based organization with humans or AI agents in any position
- Workflow definitions with triggers, stages, gates, and outcomes
- Agent-agnostic design supporting Claude, Codex, Gemini, and local models
- Scoped credentials with least privilege access per stage
- Deterministic gates for tests, reviews, and approvals
- Audit trail with hash-chained tamper-evident ledger
- Local-first deployment with optional cloud hosting
- Isolated git worktrees for independent work and verification
- Budget tracking and spend monitoring per organization
- Separation of duties enforced in code
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| What makes it different | - 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
| - Orchestration layer that treats work as executable processes rather than remembered habits or wikis
- Roles swappable between humans and AI agents without rewriting workflows
- Credentials and secrets held by infrastructure, never exposed to AI models
- Autonomous AI decision-making within defined stages, deterministic controls at stage boundaries
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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) | 42 ● no change since last check | 24 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 28 | 7 |
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| Citation Flow (Majestic) | 42 | 31 |
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| Referring domains (Majestic) | 499 | 18 |
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4 details filled in for both companies.
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