Freeplay
Freeplay is a tool designed to transform the way product teams build with Language Learning Models (LLMs). It empowers product teams by off...
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What is Freeplay?
Freeplay is the ops platform for enterprise AI engineering teams that manages the end-to-end AI application development lifecycle. It provides an integrated workflow for improving AI agents and generative AI products, enabling engineers, data scientists, product managers, designers, and subject matter experts to review production logs, curate datasets, experiment with changes, create and run evaluations, and deploy updates.
Key features include AI observability with real-time monitoring, search, and analytics for cost/latency metrics; prompt management with version control for prompts, models, and hyperparameters; a collaborative prompt playground for experimenting and comparing versions; custom evaluations (model-graded, code-based, and human); automated batch testing; dataset curation from production logs; AI-powered agents for automated review insights and prompt optimization; and usage/cost monitoring across model providers.
Freeplay is designed for AI engineering teams, product managers, domain experts, and developers building LLM-powered features, chatbots, and agents. It targets startups to Fortune 100 companies, especially those needing enterprise-grade security (SOC 2 Type II, GDPR compliant), collaborative workflows between non-developers and engineers, and the ability to ship AI features with confidence through rigorous testing and evaluation.
Freeplay pricing
Pricing model: Free
Freeplay offers three main tiers. The Free Tier is $0/month with unlimited users, unlimited auto-evals, 10,000 completions logged per month, 1 project, 10 test runs per month, $5 in Freeplay credits, 90 days data retention, and common LLM providers supported. The Growth Tier is $500/month after a 14-day free trial, including unlimited users, unlimited auto-evals, 100,000+ completions logged per month, 5+ projects, 50+ test runs per month, custom data retention, role-based access control, automatic cloud data replication, and common LLM providers supported. Enterprise is custom-priced (contact for quote) and includes 500,000 completions, self-hosting, Enterprise SAML/OIDC SSO, dedicated Forward Deployed AI Engineer, custom trainings & premium support, bring-your-own-models/fully customizable model support, access to SOC2 Type II reports, and custom MSA & Data Privacy Agreement. Startup packages offer up to 50% off Growth or Enterprise rates for young teams.
Freeplay pros
- End-to-end platform for entire AI application development lifecycle
- Unlimited users on all plans including free tier
- Unlimited auto-evals on free and paid plans
- Prompt management with version control system
- Collaborative playground for prompt crafting and testing
- Custom evals: model-graded, code-based, and human evaluations
- AI Observability with real-time monitoring and search
- Offline and online evaluations for testing and production
- Batch testing to compare prompt and agent versions
- Dataset curation from production logs or uploads
- AI agents for automated review insights and prompt optimization
- Usage and cost monitoring across all model providers
- SOC 2 Type II and GDPR compliant for enterprise security
- SDKs for Python and other languages with simple integration
- Works with any existing codebase without framework lock-in
- Role-based access control and access controls for teams
- 14-day free trial on Growth plan
- Step-level and end-to-end agent evaluation for multi-step workflows
Freeplay cons
- Growth plan starts at $500/month which may be expensive for small teams
- Free tier limited to 10,000 completions logged per month
- Free tier only includes 1 project and 10 test runs per month
- Free tier includes only $5 in credits
- Free tier has 90-day data retention vs custom retention on paid plans
- Enterprise pricing requires contact/custom quote (not transparent)
- Platform may be overkill for simple single-prompt use cases
- Requires integration with existing app to unlock full platform features
Frequently asked questions about Freeplay
What is Freeplay?
Freeplay is the only platform your team needs to manage the end-to-end AI application development lifecycle. It is the ops platform for enterprise AI engineering teams that provides an integrated workflow for improving AI agents and generative AI products. Engineers, data scientists, product managers, designers, and subject matter experts can all review production logs, curate datasets, experiment with changes, create and run evaluations, and deploy updates.
Who is Freeplay for?
Freeplay is designed for AI engineering teams, product managers, domain experts, and developers who build LLM-powered features, chatbots, and agents. It serves everyone from startups to Fortune 100 companies, especially teams where product managers, designers, and domain experts need to collaborate with engineers on prompt engineering and QA without requiring code changes.
What are the key features of Freeplay?
Key features include AI Observability (real-time monitoring with search and analytics), prompt management with version control, a collaborative prompt playground, custom evaluations (model-graded, code-based, and human), automated batch testing, dataset curation from production logs, AI-powered agents for automated review insights and prompt optimization, and usage/cost monitoring across model providers. It also supports step-level and end-to-end agent evaluation.
How does Freeplay's pricing work?
Freeplay has three tiers: Free ($0/month with 10K completions, 1 project, 10 test runs), Growth ($500/month after 14-day trial with 100K+ completions, 5+ projects, 50+ test runs), and Enterprise (custom pricing with 500K completions, self-hosting, SSO, dedicated AI engineer). Unlimited users and unlimited auto-evals are included on all plans. Startup packages offer up to 50% off for young teams.
Does Freeplay require coding to use?
No, you can start in the UI without any code. Product managers, domain experts, or developers can explore Freeplay by creating prompts, building datasets, setting up evaluations, and running tests entirely in the Freeplay UI. Integration with your app is optional and best for developers ready to connect Freeplay to an existing application for observability and automated evals.
What models does Freeplay support?
Freeplay supports common LLM providers out of the box. The Enterprise tier includes bring-your-own-model support and fully customizable model support. You can experiment with different models in the playground and track usage and costs across all your model providers and environments.
How do evaluations work in Freeplay?
Freeplay lets you define evaluators that measure quality both online (for production logs) and offline (for batch testing). You can create your own model-graded, code-based, and human evaluations. The Eval Creation Assistant uses AI to help draft better evals faster. Evals run automatically on test runs and production logs, producing scores for each evaluation criteria that you can inspect and correct if needed.
Is Freeplay enterprise-ready?
Yes, Freeplay is enterprise-grade from day one with SOC 2 Type II and GDPR compliance, security built in rather than bolted on. Enterprise features include self-hosting, Enterprise SAML/OIDC SSO, role-based access control, custom data retention, SLAs, dedicated Forward Deployed AI Engineer, custom trainings, premium support, and custom MSA & Data Privacy Agreement.
How does Freeplay help with AI agent development?
Freeplay provides unified agent evaluation and observability features including multi-level evals (step-level and agent-level), separate datasets for prompt-level and agent-level testing, step-by-step traceability for debugging branching workflows, side-by-side comparisons of different agent versions, and production performance monitoring. It works with your existing orchestration layer without requiring a new framework.
How do I get started with Freeplay?
You can choose two paths: Start in the UI (best for exploring before integrating) by creating prompts, building datasets, setting up evaluations, and running tests with no code required, or Integrate with your app (best for developers) by adding observability to capture agent traces and LLM completions, running evaluations on live data, and creating a testing harness. Sign up is available on freeplay.ai, and you can contact [email protected] for help.