Fast Simulation for
Reliable Chatbots

Fast Simulation for Reliable Chatbots

Deploy realistic personas to run hundreds of conversations in minutes, reveal failures manual testing misses, and generate judge-labeled datasets for evals and fine-tuning.

Start Simulating Now

By the Makers of

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

Stop hand-building chatbot scenarios

Manual chatbot testing misses failures that break in production. Simulation generates the conversation data you need in minutes and surfaces those issues early, with judge-labeled datasets for evals and fine-tuning.

Manual testing is slow and shallow

Writing conversations one by one limits coverage to what humans think of. Weeks of work, still missing edge cases.

Simulate realistic users at scale

Run hundreds of conversations in minutes across varied intents, personas, tones, goals, and adversarial tactics.

How it works?

Connect

Configure

Explore

Analyze

Step 01

Connect Your Agent

Bring your API or easily integrate using our SDK to connect your conversational AI agent with minimal effort.

Connect

Configure

Explore

Analyze

Step 01

Connect Your Agent

Bring your API or easily integrate using our SDK to connect your conversational AI agent with minimal effort.

Connect

Configure

Explore

Analyze

Step 01

Connect Your Agent

Bring your API or easily integrate using our SDK to connect your conversational AI agent with minimal effort.

How it works?

Step 01

Connect Your Agent

Bring your API or easily integrate using our SDK to connect your conversational AI agent with minimal effort.

Step 02

Configure & Launch

Set personas, conversation count and scenarios, then let Snowglobe run automatically.

Step 03

Simulate Scenarios at Scale

Thousands of realistic conversations unfold across diverse personas with varied interaction styles.

Step 04

Get Detailed Insights

Comprehensive report reveals failure patterns, edge cases, and performance across user types

Use Cases Powered by Simulation

Simulated user conversations you can test with and train on.

Eval Sets for Chatbots

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.

Fine-tuning Datasets

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.

QA at Release Speed

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.

Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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

Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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

Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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

Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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
Snowglobe simulated hundreds of conversations to test for AI risks such as hallucination and toxicity, helping us identify previously overlooked or under tested cases. Their risk report was also informative by highlighting areas that need further improvements.
Joe Chiu
Vice President, Data Management Systems, Changi Airport Group
Simulation testing enabled AI Verify's partners to create thousands of user scenarios targeting real-world edge cases, making abstract AI risks tangible and measurable for what matters to end user.
Shameek Kundu
Executive Director, AI Verify IMDA,
Govt. of Singapore
Snowglobe [...] provides legal professionals with a third-party source to verify and understand how risk can arise in high-stakes contexts. By adapting simulation testing methods proven in self-driving car development, Snowglobe helps bridge the gap between perceived and actual risk, enabling lawyers to make informed decisions with greater clarity and confidence.
Dr. Megan Ma
Executive Director, Stanford Legal Innovation through Frontier Technology Lab
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

Start simulating thousands of realistic scenarios automatically

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Frequently Asked Questions

What is chatbot conversation simulation?

It’s the practice of simulating real user conversations with your chatbot to create data at scale. Snowglobe generates those conversations and labels outcomes so you can evaluate and train reliably.