Snowglobe helps teams proactively surface where AI systems break (before users do). Through large-scale simulation testing, it generates realistic, diverse scenarios to reveal failure modes like hallucinations, off-topic responses, and policy violations and offers synthetic coverage no manual test set can match.
If you've built AI agents, you know how challenging it is to test them. How do you even begin formulating a test plan for a technology whose input space is infinite?
Most teams fall back on a small 'golden' dataset, maybe 50 to 100 hand-picked examples. It takes ages to put together, and even then, it only covers the happy paths, missing the messy reality of real users. That's how you end up with an agent that's perfect in development, but starts hallucinating, going off-topic, or breaking policies as soon as it meets real-world scenarios.
Snowglobe fixes this problem by creating a high fidelity simulation engine for conversational AI agents! Snowglobe creates realistic personas that interact with your AI agent across diverse simulated scenarios before you go to production.
Our customers are already generating tens of thousands of simulated conversations with Snowglobe before they go into production, allowing them to speed up what would take weeks of manual scenario handcrafting and catch potential issues before they happen in prod.
Highlights
Generate judge-labeled test datasets from simulated user conversations in minutes. Cover real behavior across intents, personas, tones, and multi-turn flows. Export to your eval tools.
Generate high-signal training data from the same runs: judge labels, preference pairs for DPO or reward models, and critique-and-revise triples for SFT. Export clean JSONL ready for training.
Run hundreds of realistic conversations per build to catch issues manual testing misses. Save suites for regression and track error rates so problems don't reach production.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract pricing covers two dimensions tied to simulated conversations. The 125K Conversation Tier gives you a fixed allotment of up to 125,000 simulated conversations under your contract. Once you use that quota, Additional Conversations bill on a consumption basis per conversation over the allotment. Each simulated conversation runs a synthetic user against your chatbot. The tier sets your baseline capacity, and the add-on scales usage beyond it as your testing needs grow.
Top-of-mind questions for buyers
What counts as one simulated conversation for billing?
One simulated conversation is a single scenario. During a simulation run, synthetic user personas interact with your chatbot's API endpoints. Each of these persona-to-chatbot exchanges counts as one conversation toward your quota. A single simulation run can generate many conversations at once.
What happens to my cost once I use all 125,000 conversations in my tier?
After you use the full 125,000 conversation allotment, consumption-based pricing begins. You then pay per Additional Conversation over the quota. Only the conversations beyond 125,000 bill at the add-on rate. The tier itself does not change; the extra usage simply meters separately.
Which dimension drives my bill as testing volume grows?
The 125K Conversation Tier sets your baseline capacity and covers usage up to 125,000 conversations. Additional Conversations only apply once you pass that quota. If you stay within 125,000, the tier drives your cost. Heavier testing adds per-conversation charges on top of the tier.
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