Freeplay

What is Freeplay?

Freeplay is an AI evals and observability platform designed to help AI teams build better products faster. It focuses on creating a data flywheel where continuous improvement is driven by evaluations, experiments, and data review workflows. It's an enterprise-ready platform that streamlines the process of managing prompts, running experiments, monitoring production, and reviewing data, all in one place.

How does Freeplay work?

Freeplay works by providing a unified platform for various stages of AI product development:

• Prompt & Model Management: Enables versioning and deploying prompt and model changes, similar to feature flags, for rigorous experimentation.
• Evaluations: Allows the creation and tuning of custom evaluations that measure quality specific to the AI product.
• LLM Observability: Offers instant search to find and review any LLM interaction, from development to production.
• Batch Tests & Experiments: Simplifies launching tests and measuring the impact of changes to prompts and agent pipelines.
• Auto-Evals: Automates the execution of test suites for both testing and production monitoring.
• Production Monitoring & Alerts: Uses evaluations and customer feedback to catch issues and gain actionable insights from production data.
• Data Review & Labeling: Provides multi-player workflows to analyze, label data, identify patterns, and share learnings.
• Dataset Management: Turns production logs into test cases and golden sets for experimentation and fine-tuning.

Key Features and Benefits

• Streamlined AI Development: Consolidates tools and workflows to reduce the need to switch between different applications.
• Continuous Improvement: Creates a data flywheel that ensures AI products continuously improve based on data-driven insights.
• Enhanced Experimentation: Facilitates rigorous experimentation with prompt and model changes.
• Improved Product Quality: Enables the creation and tuning of custom evaluations to measure specific quality metrics.
• Actionable Insights: Provides production monitoring and alerts based on evaluations and customer feedback.
• Collaboration: Supports multi-player workflows for data review and labeling.

Why Choose Freeplay?

Several customer testimonials highlight the benefits of using Freeplay:

• Faster Iteration: Teams have experienced significant increases in their pace of iteration and efficiency of prompt improvements.
• Improved Confidence: Users can ship and iterate on AI features with confidence, knowing how changes will impact customers.
• Disciplined Workflow: Freeplay transforms what was once a black-box process into a testable and disciplined workflow.
• Easy Integration: The platform offers lightweight SDKs and APIs that integrate seamlessly with existing code.

Who is Freeplay for?

Freeplay is designed for:

• AI engineers and domain experts working on AI product development.
• Teams looking to streamline their AI development workflows.
• Companies that need to ensure the quality and continuous improvement of their AI products.
• Enterprises that require security, control, and expert support for their AI initiatives.

Practical Applications and Use Cases

• Building AI Agents: Helps in building production-grade AI agents with end-to-end agent evaluation and observability.
• Improving Customer Experience: Enables companies to nail the details with AI through intentional testing and iteration.
• Enhancing Prompt Engineering: Transforms prompt engineering into a disciplined, testable workflow.

How to use Freeplay?

1. Sign Up: Start by signing up for a Freeplay account.
2. Integrate SDKs: Integrate Freeplay's SDKs and APIs into your codebase.
3. Manage Prompts: Use the prompt and model management features to version and deploy changes.
4. Create Evaluations: Define custom evaluations to measure the quality of your AI product.
5. Run Experiments: Launch tests and measure the impact of changes to prompts and agent pipelines.
6. Monitor Production: Use production monitoring and alerts to catch issues and gain insights.
7. Review Data: Analyze and label data using the multi-player workflows.

Is Freeplay Enterprise Ready?

Yes, Freeplay offers enterprise-level features, including:

• Security and Privacy: SOC 2 Type II & GDPR compliance with private hosting options.
• Access Control: Granular RBAC to control data access.
• Expert Support: Hands-on support, training, and strategy from experienced AI engineers.
• Integrations: API support and connectors to other systems for data portability and automation.

Freeplay is a robust platform that helps AI teams build better products faster by streamlining development workflows, ensuring continuous improvement, and providing the necessary tools for experimentation, evaluation, and observability. By creating a data flywheel, Freeplay empowers teams to iterate quickly and confidently on AI features, ultimately leading to higher quality AI products.