Snorkel AI

Build specialized AI with your data and expertise—100x faster

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Description

Snorkel AI provides Snorkel Flow, an advanced AI data development platform originating from the Stanford AI Lab. This platform empowers organizations to construct specialized, production-ready AI applications by leveraging programmatic AI data development techniques, accelerating the process significantly.

Snorkel Flow enables enterprises to harness their unique data and domain knowledge for various AI tasks. It supports specialized GenAI evaluations based on custom criteria, optimization of Retrieval-Augmented Generation (RAG) pipelines and Large Language Models (LLMs) for domain-specific uses, and the development of high-accuracy predictive models for complex enterprise tasks such as classification and information extraction.

Key Features

Programmatic AI Data Development: Build production AI applications faster using AI data development techniques to transform enterprise data and domain knowledge.
Specialized GenAI Evaluation: Develop enterprise GenAI evaluations based on unique domain, business, and use case acceptance criteria with specialized evaluators and fine-grained metrics.
GenAI Optimization: Optimize GenAI systems, including RAG pipelines and agentic workflows, for domain-specific use cases by improving retrieval accuracy and response generation.
Predictive ML Model Acceleration: Expedite the delivery of high-accuracy predictive models for classification and information tasks on complex enterprise documents.
NLP Application Building: Construct applications for classification, information extraction, named entity recognition, and more.
Computer Vision Capabilities: Transform images into actionable insights.
Seamless Tech Stack Interoperability: Integration-first platform that works with existing AI/ML stacks.

Use Cases

Developing specialized AI/ML systems for critical business tasks.
Evaluating enterprise GenAI applications for alignment with human judgment and custom criteria.
Optimizing RAG pipelines and LLMs for domain-specific information retrieval and response generation.
Building high-accuracy predictive models for complex document analysis and information extraction.
Automating NLP tasks like classification, information extraction, and named entity recognition.
Deriving insights from images using computer vision solutions.
Accelerating AI model development in industries like Banking & Finance, Healthcare, Insurance, and Public Sector.