Snorkel AI offers a Data-as-a-Service platform combining expert reviewer calibration, programmatic rubric graders, fine-tuned evaluator models, and full adjudication pipelines with provenance tracking. Their data development process covers human solution traces, reasoning traces, preference labels, grounding rubrics, verifiable outcomes (unit tests, deterministic graders), and runnable environments (repo + CLI, browser/GUI harness, multi-step stateful workflows). All benchmarks and evals are built alongside datasets with task-specific rubrics and reproducible scoring across model versions.