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Snorkel AI Data Development Platform
Snorkel Expert Data-as-a-Service
Accelerate the evaluation and development of frontier AI models with a scalable, white-glove service that provides model development teams with high quality, expert data.
Today’s frontier AI models requires specialized data
The next and most critical frontier of AI development relies on specialized, expert-driven data. This data needs to reflect domain-specific knowledge and reasoning patterns held by subject matter experts and align tightly with evolving model objectives. Snorkel leverages over a decade of research and product development to drive high-quality, expert-driven data pipelines at scale.
Snorkel Expert Data-as-a-Service
Purpose-built for
Specialized Data
Our expert network is purpose-built to enable high-precision data development for challenges generalist workflows can't address.
Specialized data, designed and delivered by experts
Frontier Capabilities
Snorkel delivers uniquely challenging datasets that routinely result in frontier model pass rates of 0-20%
Diversity
We build distributionally-aware datasets by combining structured ontologies, templated task generation, and failure mode tracking—ensuring signal-rich variety from the start.
Specialization
Our expert network spans 1,000+ domains, enabling high-precision data development for the challenges generalist workflows can’t address.
Highest Quality
Snorkel’s QA process integrates adversarial challenge sets and fine-tuned quality models in a multi-reviewer expert loop—delivering consistently superior outcomes.
Rapid Iteration
Customer & Snorkel research teams partner closely to ensure fast feedback loops on guidelines & optimized human-in-the-loop data pipelines.
Proven at the frontier
Snorkel partners with AI teams at every stage of AI model development, including pretraining, evaluation, domain-specific knowledge distillation, agentic reasoning, and tool use. Regardless of industry, task, or modality, Snorkel delivers signal-rich, specialized datasets for frontier LLMs and enterprise models.
Evals and benchmarks
Delivered multiple SOTA benchmark datasets to a leading model provider that required an 80%+ failure rate on PhD-level questions.
Reasoning
Delivered PhD-level Q&A pairs including golden reasoning traces that required 100% frontier LLM failure rates.
Agentic and tool use
Provided a wireless telco operator with over 60,000 custom tool use examples to train a specialized LLM for its AI assistant.
Coding
Curated uniquely challenging prompt/response from top-tier software engineering experts for frontier coding model.
Enterprise
Curated training data for a telecommunications company to deploy a specialized LLM to answer billing questions in production.
Consumer / Product
Curated muti-turn, product-specific eval & post-training dataset to drive model lift for leading consumer LLM use case.