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Version: 25.5

What is the Snorkel AI Data Development Platform?

The Snorkel AI Data Development Platform is a unified, data-centric solution designed to streamline the development of high-quality datasets and prompts for modern AI systems, including large language models (LLMs), retrieval-augmented generation (RAG) pipelines, and AI agents. By focusing on data and evaluation, the platform enables organizations to build specialized AI systems efficiently and effectively.

Snorkel's platform enables a structured, iterative development loop in which data scientists and domain experts:

  • Annotate datasets to capture expert input
  • Develop prompts to programmatically generate high-quality labels
  • Apply slicing to identify subsets of data for targeted analysis
  • Evaluate performance and conduct error analysis
  • Improve data and prompts to close gaps and resolve errors

Each iteration through this loop improves the dataset and, in turn, the performance and trustworthiness of the downstream AI system.

What kinds of AI systems can I develop with Snorkel?​

The platform supports data development for a broad range of use cases, including:

  • RAG pipelines
  • Agentic systems
  • Structured extraction tasks
  • Classification and triage systems
  • Moderation, detection, and filtering tasks

These systems often require domain-specific data and evaluation criteria. Snorkel enables teams to encode and apply this knowledge programmatically to build and improve them efficiently.

What is data-centric development?​

In contrast to trial-and-error prompt engineering or one-off fine-tuning jobs, data-centric development puts the data at the center of the AI system lifecycle. Rather than writing prompts or training models in isolation, you:

  • Curate, label, and transform training and evaluation sets
  • Develop task-specific labeling logic and prompt templates
  • Evaluate results with targeted, interpretable feedback

This leads to systematic improvements and actionable insights across prompts, models, and pipelines.

What makes Snorkel different?​

Snorkel gives you:

  • Programmatic labeling: Quickly create high-quality labeled datasets using code, not just manual review.
  • Evaluation: Analyze performance across interpretable subsets and failure modes.
  • Prompt development workflows: Evaluate and improve generative systems in a structured, testable loop.
  • Expert-in-the-loop review: Bring subject matter experts into the loop with workflows for error auditing and label correction.

The platform supports unstructured text, tabular, and semi-structured data. Whether you're processing customer tickets, contracts, user profiles, or financial reports, Snorkel helps you label, slice, and evaluate it more efficiently.

Snorkel replaces brittle, trial-and-error workflows with scalable, collaborative, and auditable systems for building and improving AI with data.