Label data in minutes, not months
Fine-tune LLMs 10-100x faster
Snorkel Flow enhances the performance of large language models on custom tasks while reducing training time and resources.
Apply and evaluate
Foundation models or LLMs are powerful but not perfect. For complex, real-world datasets, pinpointing where models make errors, “hallucinate,” or yield biased results can be daunting. Snorkel Flow gives you advanced evaluation analysis tools to identify model errors and guides you on how to fix them.
Integrated with popular models from:
Manually creating and applying labels or prompts to correct model errors takes a lot of work to scale and track. Snorkel Flow streamlines the model error correction by programmatically generating high-quality training data using all your knowledge sources, such as prompts, embeddings, dictionaries, and even other foundation models as feedback.
Memorial Sloan Kettering achieved 93% accuracy with rapid training data and model iteration.
Deploy as you choose
LLMs are complex, challenging to deploy, not to mention expensive. Snorkel Flow gives you complete control over model deployment, eliminating any constraints or lock-in. Choose the deployment strategy that suits your needs, whether integrated fine-tuning for ease, knowledge distillation for model interpretability, or training data export for flexibility.
Pixability used LLMs to distill and deploy an ML model with 90% accuracy in days.
Iterating on training data and models took months before. It literally takes minutes using Snorkel Flow.
Head of Science Technology Innovation Center
Label data in minutes not months
Snorkel Flow automates labeling while keeping humans in the loop to create high-quality training data at scale. Streamline the process of labeling data and training models to reduce AI development costs by 90%.
Interoperable with your AI stack
Quickly and securely integrate to data pipelines or upload data locally.
Train custom models or choose from leading model frameworks with optional AutoML.
Deploy your models within Snorkel Flow or export to the service of your choice.
Host Snorkel Flow within the secure infrastructure of your choice.
Power specialized NLP and computer vision
Build unique and mission-critical NLP and computer vision applications tailored for your domain, across your organization.
Start with ML task templates
Build using your own data
Go from prototype to production
Snorkel AI empowers Fortune 500 enterprises, government agencies, and innovators to turn cutting-edge ML techniques into new AI-powered products and experiences.
Deputy CIO & VP of Digital Solutions
Azure AI integrates Snorkel Flow's improved development cycle to automatically label and easily train new custom AI models.
CTO, Azure AI
With Snorkel Flow, we can accelerate our development cycles and improve the accuracy of our models for each customer.
VP of Applied AI
Principal Data Scientist
80+ research publications on data-centric AI
Born at Stanford AI Lab in 2015, Snorkel AI's team has spent nearly a decade exploring data-centric AI, including foundation models, programmatic labeling, and weak supervision. With the Snorkel Research Project and 80+ publications, our research team, comprising renowned faculty, collaborates with partners to advance ML techniques and open-source projects and enhance Snorkel Flow.