The AI Reliability Platform
The guardrails framework for building, governing, and scaling production GenAI across any LLM and deployment environment.
AI reliability wherever you are in your AI lifecycle
Train on Data You Don't Have Yet
Simulate large-scale, realistic datasets for fine-tuning, distillation, and prompt optimization.
Find Where Your Agent Breaks
Generate dynamic eval datasets targeting edge cases and risky outcomes. Quantify failure modes before your users discover them.
Control What Ships to Production
Deploy runtime guardrails that detect policy violations, hallucinations, and data leakage. Block bad outputs before they reach users.
Good synthetic data is hard to generate, with the chief reason being that it's hard to create diversity of content. [...] When we started using Snowglobe, the clearest difference we saw was how realistic the synthetic user personas felt compared to any synthetic data that we'd seen before. We have completely switched to using SnowGlobe for this data.
Aman Gupta
Head of AI, Masterclass
