Flapico

Flapico is an LLMOps platform designed to help manage, version, test, and evaluate prompts for LLM applications. It aims to make LLM apps reliable in production by decoupling prompts from codebase, enabling quantitative testing over guesswork, and facilitating team collaboration on prompt writing and testing. Flapico offers features like a prompt playground, tools for running and analyzing large-scale tests, an evaluation library, and a secure model repository with bank-grade security.

Users can utilize Flapico's prompt playground to run prompts against different models and configurations. They can execute large tests on their datasets with various combinations of models and prompts, receiving real-time updates. The platform also allows users to analyze and evaluate test results using Flapico's Eval Library, providing granular details and metrics. Additionally, users can securely store all their models in a centralized repository. To get started or learn more, users can request a demo or book a free 15-minute call.

• Prompt playground (run prompts against different models and configurations, multi-model support, configuration, versioning)
• Run tests (large tests on datasets, realtime updates, fully concurrent, run multiple tests in background)
• Analyze & Evaluate (evaluate test results using Flapico's Eval Library, granular details for each LLM call, detailed metrics & charts, run evals)
• Your model repository (keep all models securely, all models at one place, fully encrypted, built-in support for all popular models)

• Building and shipping LLM applications with confidence.
• Fixing LLM outputs before they interact with customers.
• Decoupling prompts from codebase for better maintainability.
• Conducting quantitative tests on prompts for reliability.
• Enabling team collaboration on prompt writing and testing.
• Ensuring bank-grade security for LLM operations and data.