Propeller Reviews & Product Details

A complete training data platform for AI.

Make visual AI a reality. Build production-ready visual AI faster and more easily with FiftyOne from Voxel51. By simplifying and automating how you explore, visualize and curate visual data, Voxel51 lets you test and refine your models alongside exactly the datasets they need to ensure robust, accurate results. Better data => better models => the fastest path to success with visual AI.

Iterate Quickly While Maintaining Control. Release high-quality LLM apps quickly without compromising on testing. Never be held back by the complex and subjective nature of LLM interactions.

Data you can trust. Turn unreliable data into reliable models and insights. Automatically find and fix errors for LLMs and the modern AI stack.

Galileo's Agentic Evaluations is a comprehensive solution designed to empower developers in building reliable AI agents powered by large language models (LLMs). This platform provides the necessary tools and insights to optimize agent performance, ensuring they are ready for real-world deployment. Key Features and Functionality: - Complete Visibility into Agent Workflows: Developers gain a clear view of multi-step agent completions, from input to final action, with comprehensive tracing and visualizations that help quickly identify inefficiencies and errors. - Agent-Specific Metrics: The platform offers proprietary, research-backed metrics to evaluate agents at multiple levels, including: - LLM Planner: Assesses tool selection quality and instruction accuracy. - Tool Calls: Evaluates errors in individual tool executions. - Overall Session Success: Measures task completion and successful agent interactions. - Granular Cost and Latency Tracking: Optimize cost-effectiveness with aggregate tracking for cost, latency, and errors across sessions and processes. - Seamless Integrations: Supports popular AI frameworks like LangGraph and CrewAI, facilitating easy integration into existing workflows. - Proactive Insights: Provides alerts and dashboards to identify systemic issues and uncover actionable insights for continuous improvement, such as failed tool calls or misalignment between final actions and initial instructions. Primary Value and Problem Solved: Agentic Evaluations addresses the challenges developers face in building and evaluating AI agents, such as non-deterministic paths, increased failure points, and cost management. By offering an end-to-end framework with system-level and step-by-step evaluations, it enables the development of reliable, resilient, and high-performing AI agents. This ensures that agents are not only functional but also efficient and trustworthy, ready to handle complex, multi-step workflows in real-world applications.