Kid-safe AI infrastructure and services for children's products
Production AI at enterprise scale
Stage
Not given
Established
Founded
Not given
2016
Based in
GB
US
Pricing model
Not given
Contact for pricing
Pricing
Not given
Flexible subscription, term, and perpetual licensing models. Organizations switching from conventional architectures see 60-80% reduction in total infrastructure cost. CPU-based pricing with no incremental ETL costs.
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
AI on Enterprise Data - bring AI directly to governed enterprise data at petabyte scale
Security - built-in controls for access, governance, and compliance
Deployment Options - cloud, on-premises, or hybrid deployment flexibility
Data Ingest - continuously ingest and prepare high-volume data for AI-ready analytics
Query Optimization - run complex analytics on petabytes of data with predictable performance
Semi-Structured Data - give AI richer context with structured and semi-structured data in one platform
Megalane Parallelism - sub-second queries at petabyte scale
Zero Copy Reliability - no data duplication or redundant storage overhead
Compute Adjacent Data Store - computation happens where data lives
Smart Data Pipelines - continuously governed data pipelines replace manual ETL
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
Petabyte-scale performance without moving or duplicating enterprise data
60-80% reduction in infrastructure costs compared to conventional architectures
Production-grade AI delivery with expert implementation and solutions delivery teams
Flexible licensing models aligned to how enterprise AI programs actually scale
Unified platform for ingest, governance, query execution and optimization
AstroSafe
Ocient