Snorkel

About Snorkel

Snorkel key features

• **Expert-Curated Datasets**: Provides specialized, research-led datasets tailored for frontier AI applications, addressing complex tasks and domain-specific challenges.
• **Custom AI Systems**: Develops specialized agents designed to enhance return on investment (ROI) by utilizing enterprise-specific data and evaluation criteria.
• **Benchmarking and Evaluation**: Features rigorous benchmarks, such as the Agentic Coding benchmark, to assess AI models on multi-step reasoning and tool use in real-world scenarios.
• **Research Collaboration**: Engages in active research partnerships with leading academic institutions, resulting in over 170 peer-reviewed papers and innovative methodologies for data-centric AI.
• **Data Development Services**: Offers a scalable Data-as-a-Service model that accelerates the labeling, refinement, and evaluation of high-quality, domain-specific datasets for AI projects.

Snorkel use cases

• Development of expert-curated datasets for training frontier AI models in specialized domains, such as coding and financial reasoning.
• Creation of custom AI agents tailored to specific enterprise workflows, evaluated against real-world performance criteria.
• Implementation of benchmarks for evaluating AI models on complex tasks requiring multi-step reasoning and tool use.
• Provision of data-centric AI services to enhance model accuracy and speed up deployment in various industries.
• Collaboration with organizations to improve AI capabilities through research-backed methodologies and expert input.

Useful for

• Provides expert-curated datasets specifically designed for frontier AI, addressing complex and specialized tasks that generic data cannot cover.
• Enables the development of custom AI systems tailored to specific enterprise workflows, ensuring higher ROI and performance standards.
• Facilitates rigorous evaluation of AI models through benchmarks that reflect real-world scenarios, enhancing model reliability and accuracy.
• Offers a systematic approach to data development, including calibrated expert reviews and programmatic checks, which improves data quality and model training.
• Supports continuous improvement of AI systems by identifying failure modes and refining datasets and evaluation criteria based on performance feedback.

Price

• Snorkel offers two main data development options: the Snorkel Data Series, which provides curriculum-structured datasets, and custom data development tailored to specific needs.
• The Snorkel Data Series includes expert-curated datasets designed for various task areas, complete with rubrics and evaluation slices.
• Custom data development engagements focus on creating bespoke datasets and evaluation environments to address specific model failure surfaces.
• Pricing details for the plans are not explicitly mentioned in the provided text.
• Interested users are encouraged to talk to a data researcher or strategist for more information on services and potential costs.