Provides a platform for testing, monitoring, and optimizing large language models (LLMs) in production, enabling teams to build and iterate on AI features, chatbots, and agents collaboratively. It streamlines prompt management, automates evaluations, and integrates observability tools to improve model performance and reduce operational costs, as demonstrated by clients achieving up to 75% cost savings.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CPFounders
Product
Problem
Developing and deploying large language model (LLM)-powered applications is challenging due to the complexities of prompt engineering, model evaluation, and ongoing performance monitoring. Existing development workflows often lack the necessary tools for systematic testing, experimentation, and collaboration, leading to slower iteration cycles and increased operational costs.
Solution
Freeplay provides a collaborative platform designed to streamline the entire lifecycle of LLM-powered products, from initial experimentation to continuous optimization in production. The platform enables teams to manage prompts, conduct automated evaluations, and monitor model performance using integrated observability tools. By unifying developers, product managers, and subject matter experts on a single platform, Freeplay facilitates rapid iteration, reduces development bottlenecks, and ensures the delivery of high-quality AI features.
Target Audience
Freeplay is designed for software companies, including developers, product managers, and technical leadership, who are building and deploying LLM-powered applications and require a collaborative platform for testing, evaluation, and continuous improvement.
Features
- Prompt and model versioning system for managing configurations outside of code
- Playground environment for testing new ideas and comparing model outputs
- Automated testing suite for evaluating model performance against predefined metrics
- LLM observability tools for monitoring model behavior and identifying potential issues in production
- Data labeling and curation capabilities for improving model accuracy and reliability
- Simple SDKs and APIs for integrating Freeplay into existing development workflows
- Role-based access control for enabling collaboration between developers, product managers, and subject matter experts
- Option for SaaS or private deployment to maintain control over data