AstroSafe vs Flowable
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 Flowable
| Detail | 
AstroSafe | 
Flowable |
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| What it does | Kid-safe AI infrastructure and services for children's products
| The Agentic Case Platform for Regulated Industries
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| Stage | Not given
| Established
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| Founded | Not given
| 2010
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| Based in | GB
| CH
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
| 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
| - Agent Orchestration - agents work on real cases with people in the loop
- Policy Controls & Governance - set what agents can and cannot do at runtime
- Observability & Audit Trail - every decision traceable and logged
- Case Management - complex long-running cases with dynamic routing
- Open-Standard Engines - BPMN, CMMN, and DMN
- Enterprise Cloud - secure, scalable cloud deployment
- Human-in-the-loop - people and agents share processes with sign-off
- Seamless integrations with third-party systems via REST APIs
- AI agent integration with OpenAI, Anthropic, Azure AI, AWS Bedrock
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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
| - Purpose-built for regulated industries where every action must be attributable, defensible, and reversible
- Open standards (BPMN, CMMN, DMN) prevent vendor lock-in with transparent, portable processes
- Proven at scale - trusted by 600+ enterprises, processes 1 billion events daily
- Built-in compliance and audit trails for regulated work requiring transparency and accountability
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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 | 61 ● no change since last check |
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| Trust Flow (Majestic) | 28 | 19 |
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| Citation Flow (Majestic) | 42 | 42 |
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| Referring domains (Majestic) | 499 | 666 |
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4 details filled in for both companies.
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