Freeplay.ai: Empowering AI Teams to Build, Test, and Monitor Intelligent Applications

Freeplay.ai is a powerful, enterprise-ready platform designed for AI teams to efficiently build, test, evaluate, and monitor AI-powered applications and agents. With a focus on continuous improvement through a data flywheel, it offers robust tools for prompt and model management, customizable evaluations, and real-time LLM observability, enabling seamless development-to-production workflows. The platform supports integration with leading LLM providers like OpenAI, Anthropic, Google Vertex, AWS Bedrock, and Groq, as well as self-hosted models, making it highly flexible for diverse use cases. Its customizable playground allows for advanced prompt experimentation and comparison across providers, while batch testing and auto-evals streamline quality assurance. Multi-player workflows and dataset management tools turn production logs into golden test sets, enhancing collaboration and model refinement. With strong compliance standards including SOC 2 Type II and GDPR, private hosting options, and granular role-based access control, Freeplay.ai ensures security and scalability for regulated industries and large organizations. Expert support, training, and strategic guidance from experienced AI engineers are available, along with lightweight SDKs and APIs for zero-latency integration.

Key Features:

• Prompt & Model Management: Versioning and deployment with feature flags for full control over AI models and prompts.
• LLM Observability: Instant search across all LLM interactions from development to production for transparency and debugging.
• Customizable Evaluations: Tailored evaluation frameworks to measure AI quality based on specific product goals.
• Custom Playground: A flexible environment to craft, test, and compare prompts across multiple LLM providers.
• Batch Testing & Experiments: Launch experiments from the app or code for scalable validation and optimization.
• Auto-evals: Automated test suites for both testing and production monitoring to ensure consistent performance.
• Production Monitoring & Alerts: Real-time alerts based on evaluations and customer feedback to maintain reliability.
• Multi-Player Workflows: Collaborative data review and labeling with tools to identify patterns and share insights.
• Dataset Management: Convert production logs into test cases and golden datasets for iterative training.
• Lightweight SDKs & APIs: Seamless integration into any codebase with zero latency in production.
• Compliance & Security: SOC 2 Type II and GDPR compliant, with private hosting and multi-tenant/self-hosted deployment options.
• Role-Based Access Control (RBAC): Granular permissions for secure data and workflow management.
• Expert Support & Training: Access to seasoned AI engineers for guidance, support, and bespoke training sessions.
• Third-Party Integrations: Connects with major AI providers and supports SSO via SAML/SCIM.
• Self-Hosted Model Support: Fully customizable model integration, including bring-your-own-models and private deployments.
• Enterprise-Grade Features: Custom SLAs, dedicated Forward Deployed AI Engineer, and legal agreements for large-scale use.

Pricing: Freeplay.ai offers a Free plan at $0/month with core features like unlimited users, 10,000 completions logged monthly, and 10 test runs. The Growth plan starts at $500/month with expanded capacity and includes a 14-day free trial. The Enterprise plan is available with custom pricing and comes with a 30-day free trial, featuring unlimited projects and test runs, self-hosting, advanced security, and dedicated engineering support. All plans support flexible deployment models and are ideal for teams scaling AI applications with confidence.

Conclusion: Freeplay.ai stands out as a comprehensive, secure, and scalable platform for AI teams, combining powerful development tools with enterprise-grade compliance and expert support—perfect for organizations aiming to build high-quality, reliable AI products with continuous improvement at their core.