Freeplay is developing better ways to build with LLMs, bridging the gap between domain experts and developers with prompt engineering, testing, and evaluation tools.
Freeplay is a platform designed to assist teams in developing and optimizing AI products, particularly those involving large language models (LLMs), chatbots, and AI agents. It offers a wide range of tools to facilitate the testing, evaluation, monitoring, and optimization of AI systems in production. The platform focuses on providing comprehensive support throughout the AI product development lifecycle, ensuring teams can build, test, and deploy AI features efficiently.
LLM Observability: Enables teams to monitor LLM systems in real-time, capturing prompt and response details, customer feedback, and evaluation scores, allowing for improved tracking and management of models in production.
Prompt & Model Experimentation: Supports experimentation with new ideas and comparisons of outputs using a user-friendly playground or direct code integration. This feature allows teams to manage prompt and model versions effectively.
Evaluation & Testing Suite: Offers automated testing capabilities with an extensive evaluation suite, enhancing confidence in deploying AI models. It incorporates data labeling, curation, and observability tools to track system performance.
SDKs & API Integration: Provides simple software development kits and APIs to facilitate easy integration of generative AI capabilities into existing systems or to build new applications from scratch.
Insights & Optimization: Delivers insights and solutions for optimizing AI systems, which can lead to significant cost savings and improved feature deployment, as demonstrated in case studies such as Help Scout’s cost-saving initiatives.
Freeplay promotes seamless collaboration among diverse teams, including developers, product managers, data scientists, and analysts. It fosters an AI-native software development lifecycle (SDLC) by unifying workflows and standardizing best practices across teams. This structured approach allows for rapid iteration and refinement of AI features, contributing to high-quality product development.
The platform offers multiple deployment options, allowing users to choose between traditional SaaS models or private, self-managed environments for maintaining data control. This flexibility supports scalability while ensuring compliance with various privacy and security standards.
Freeplay provides access to AI expertise and product support, leveraging extensive experience in deploying large-scale AI solutions. It emphasizes customer-centric development, helping both technical and non-technical users better understand and utilize AI tools.
Help Scout significantly benefitted from using Freeplay by achieving a 75% reduction in LLM-related costs while accelerating their development processes. They leveraged Freeplay’s capabilities for fast prototyping, testing, and deployment of new AI features. The platform enabled them to switch models and improve efficiency without manual intervention, ultimately saving time and supporting scalable growth.
Customers like Help Scout, Maze, and others have reported enhanced capabilities and confidence in shipping AI products quickly. They highlight the user-friendly tools and comprehensive support provided by Freeplay, which make it easier to build effective, high-quality AI solutions.
In essence, Freeplay offers a collaborative and flexible environment for AI product teams, ensuring they can efficiently manage the complexities of developing and maintaining LLM-based features and applications. Its integrated set of tools and emphasis on best practices make it a valuable asset for any organization looking to leverage AI technology effectively.