What is Snowglobe?

Snowglobe is a simulation environment for LLM teams designed to test how their AI applications respond to real-world user behavior. It enables users to run full workflows through realistic scenarios, catch edge cases early, and confidently improve model performance before deploying to production. Snowglobe helps AI teams test LLM apps at scale by simulating real-world conversations, uncovering risks, and improving overall model performance.

How to use Snowglobe?

To use Snowglobe, users connect their conversational AI agent via API or SDK. The process involves configuring simulations with realistic personas and scenarios, running hundreds of conversations, exploring the results, and analyzing failure patterns and performance metrics. This allows for generating judge-labeled>

Snowglobe's Core Features

Realistic user persona and scenario generation

Large-scale conversation simulation (hundreds in minutes)

Automated evaluation with built-in and custom metrics

Generation of judge-labeled>

Identification and reporting of AI risks (e.g., hallucination, toxicity)

Agent execution for end-to-end conversations

Snowglobe's Use Cases

Generating Eval Sets for Chatbots: Create judge-labeled test>

Generating Fine-tuning Datasets: Produce high-signal training>

QA at Release Speed: Run hundreds of realistic conversations per build to catch issues and track error rates.

Testing for AI risks: Simulate conversations to identify and address risks like hallucination and toxicity.

Verifying and understanding risk in high-stakes contexts for legal professionals.

Snowglobe Support Email & Customer service contact & Refund contact etc.

Here is the Snowglobe support email for customer service: [email protected] . More Contact, visit the contact us page(mailto:[email protected])