Snorkel AI Data Development Platform empowers enterprises to develop and operationalize specialized AI systems, models, and agents. It achieves this by transforming proprietary data and human domain knowledge into high-quality expert evaluation and training data, available either through a platform deployment or a white-glove dataset delivery service. The platform is designed to accelerate the delivery of specialized AI systems to production environments. It addresses the critical challenge of building fine-grained evaluations for AI models and agentic systems by allowing users to create custom benchmark datasets and specialized evaluators, incorporating human-in-the-loop (HITL) feedback. Furthermore, Snorkel AI facilitates the improvement of AI models and agentic systems by applying evaluation results through advanced techniques such as prompt engineering, RAG optimization, model fine-tuning, or distillation. Complementing its platform, Snorkel AI also offers a scalable, white-glove 'Expert Data-as-a-Service' offering, which provides model development teams with high-quality, expert data, thereby accelerating the evaluation and development of frontier AI models. This comprehensive approach helps organizations, including Fortune 100 enterprises, deploy production AI and ML applications significantly faster, often 10-100x quicker.

Features & Benefits

• Specialized AI Evaluation and Tuning
  • Accelerates the delivery of specialized AI systems, models, and agents to production by evaluating and tuning them on expert data derived from human domain knowledge and enterprise unstructured data.
• Snorkel Evaluate
  • Builds fine-grained evaluations for AI models and agentic systems by creating benchmark datasets and custom evaluators with expert human-in-the-loop (HITL) feedback.
• Benchmark datasets
  • : Create custom benchmarks to evaluate AI systems based on specific desired behaviors.
• Specialized evaluators
  • : Develop custom evaluators beyond generic checks, moving past off-the-shelf LLM-as-a-Judge evaluators.
• Guided error analysis
  • : Identify specific scenarios requiring corrective action with guided error analysis and fine-grained error mode detection.
• Snorkel Develop
  • Applies evaluation results to improve AI models and agentic systems.
  • Prompt engineering
  • RAG optimization
  • Model fine-tuning or distillation
• Snorkel Expert Data-as-a-Service
  • Provides a scalable, white-glove service that delivers high quality, expert data to model development teams, accelerating the evaluation and development of frontier AI models.
• Accelerated AI Deployment
  • Enables organizations to deploy production AI and ML applications 10-100x faster.