Snorkel Evaluate is an AI evaluation platform designed for enterprises to develop specialized data and measure the performance of complex AI systems, moving beyond generic metrics.
Vendor
Snorkel
Company Website



Snorkel Evaluate stands as the premier AI evaluation platform, specifically engineered for enterprises that require more than standard "vibe checks" or out-of-the-box metrics derived from generic Large Language Model (LLM) prompts. It addresses the critical need for specialized data development in the context of advanced AI systems. Agentic AI systems, capable of performing complex, high-impact tasks through reasoning, tool use, and autonomous decision-making, necessitate rigorous evaluation and tuning on specialized, expert data before deployment. Snorkel Evaluate provides a scalable methodology for organizations to create robust evaluation datasets, develop highly specialized evaluators, precisely measure subtask performance, and surface actionable insights crucial for continuous improvement. This platform empowers enterprises to curate representative benchmark evaluation datasets, ensuring AI systems behave as expected when tackling intricate, real-world challenges. It facilitates the development of custom evaluators that accurately grade the output and actions of AI systems, aligning them directly with unique enterprise objectives and stringent standards. Furthermore, Snorkel Evaluate enables the measurement of meaningful subtask performance through fine-grained data slices, delivering actionable insights that pinpoint exact areas requiring improvement. It is a key component of the broader Snorkel Flow, the AI data development platform, designed to accelerate the deployment of production AI and ML applications.
Features & Benefits
- Benchmark Evaluation Datasets
- Curate representative benchmark evaluation datasets to verify if AI systems behave as expected when performing complex, real-world tasks.
- Specialized Evaluators
- Develop specialized evaluators that grade the accuracy of AI system’s output and actions, aligning with unique enterprise objectives and standards.
- Fine-grained, Actionable Insights
- Measure the performance of meaningful subtasks with fine-grained data slices, benefiting from actionable insights that identify where improvements are needed.