Snowglobe

Helps AI teams test LLM apps at scale with realistic simulations.

Snowglobe is a platform designed for AI teams to test LLM (Large Language Model) applications at scale. It enables the simulation of real-world conversations to uncover risks and improve model performance before launch. With features like persona modeling, scenario generation, and both built-in and custom metrics, Snowglobe provides a comprehensive solution for evaluating and training AI systems. The platform supports both self-service and enterprise needs, offering scalable solutions from early-stage startups to large-scale AI deployments.

Freemium

How to use Snowglobe?

Snowglobe is used by connecting your AI agent via API or SDK, configuring test scenarios, and running simulations to generate conversation data. This data helps in evaluating chatbot performance, identifying failures, and generating training datasets for fine-tuning. It's particularly useful for teams looking to ensure their AI applications are reliable and perform as expected in real-world scenarios.

Snowglobe 's Core Features

Persona Modeling & Scenario Generation: Automatically creates realistic user personas and dynamic test scenarios to simulate diverse interactions.

Built-in & Custom Metrics: Offers preconfigured and customizable metrics for comprehensive quality assessment of AI applications.

Agent Execution: Supports multi-turn conversations between personas and your AI, enabling end-to-end testing.

Advanced Analytics: Provides clustered insights and failure mode analysis for deep performance evaluation.

Unlimited Simulations: Enterprise plan allows for unlimited simulation runs without usage limits or rate restrictions.

Multi-agent Support: Simulates complex interactions across multiple agents for comprehensive testing scenarios.

Security & Compliance: Includes features like HIPAA compliance, advanced authentication, and audit logs for secure deployments.

Snowglobe 's Use Cases

Eval Sets for Chatbots: Generate judge-labeled test datasets from simulated conversations to cover real behavior across various intents and personas.

Fine-tuning Datasets: Create high-signal training data, including judge labels and preference pairs, ready for export and training.

QA at Release Speed: Run hundreds of realistic conversations per build to catch issues missed by manual testing, ensuring reliability before production.

Risk Identification: Simulate conversations to test for AI risks like hallucination and toxicity, identifying overlooked cases.

Legal and High-stakes Contexts: Provides legal professionals with insights into how risks arise in high-stakes scenarios, aiding in informed decision-making.

Snowglobe 's Pricing

Self-service

Free for first 250 messages/month, then $0.25 per message

Free for first 250 messages/month, then $0.25 per generated message. Includes persona modeling, scenario generation, built-in metrics, custom metrics, standard reporting, limited app connections, agent execution, community support, and rate limit of 250 scenarios/hour.

Enterprise

Custom pricing

Custom pricing with guaranteed KPIs, forward deployed engineer, custom metric creation, hands-on simulation runs, expert report, advanced analytics, unlimited simulations, unlimited app connections, unlimited team members, multi-agent support, VPC or on-premise deployment, advanced authentication, HIPAA compliance, admin roles & audit logs, priority support, custom SLAs, and bulk usage discounts.

Snowglobe 's FAQ

Most impacted jobs

AI Researchers

Data Scientists

Chatbot Developers

QA Engineers

Legal Professionals

Healthcare AI Developers

Enterprise AI Teams

Startup Founders

Product Managers

UX Designers

Snowglobe 's Tags

#AI Testing #LLM #Chatbot Simulation #AI Evaluation #Data Generation

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