| What it does | Kid-safe AI infrastructure and services for children's products
| Production infrastructure for AI applications with observability, governance, and multi-model support
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | GB
| Not given
|
|---|
| Pricing model | Not given
| Not given
|
|---|
| Pricing | Not given
| Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
|
|---|
| 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
| - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
|
|---|
| 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
| - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 42 ● no change since last check | 8 ▼ −1 (down) since last check |
|---|
| Trust Flow (Majestic) | 28 | 6 |
|---|
| Citation Flow (Majestic) | 42 | 20 |
|---|
| Referring domains (Majestic) | 499 | 22 |
|---|
AstroSafe
Seclai