Product Releases

Snorkel AI and AWS are partnering to help enterprises build, deploy, and evaluate custom, production-ready AI models. Learn how.

We aim to help our customers get GenAI into production. In our 2024.R3 release, we’ve delivered some exciting GenAI evaluation results.

Snorkel AI has made building production-ready, high-value enterprise AI applications faster and easier than ever. The 2024.R3 update to our Snorkel Flow AI data development platform streamlines data-centric workflows, from easier-than-ever generative AI evaluation to multi-schema annotation.

Discover new NLP features in Snorkel Flow\’s 2024.R3 release, including named entity recognition for PDFs + advanced sequence tagging tools.

Discover the latest enterprise readiness features for Snorkel Flow. Configure safeguards for data compliance and security.

This release features new GenAI tools and Multi-Schema Annotation, as well as new enterprise security tools and an updated home page.

Enterprises must evaluate LLM performance for production deployment. Custom, automated eval + data slices present the best path to production.

To tackle generative AI use cases, Snorkel AI + AWS launched an accelerator program to address the biggest blocker: unstructured data.

The Snorkel Flow label model plays an instrumental role in driving the enterprise value we create. Here’s a peek at how it works.

Snorkel Flow’s 2024.R1 release includes new role-based access control tools to further safeguard valuable enterprise data.

Unlock advanced LLM customization with Snorkel Flow’s new release! Explore flexible data integrations, secure controls, and multimodal support to fine-tune language models for enterprise use. Discover how to leverage images and diverse data types for AI-driven insights.

Snorkel Flow’s new FM-first workflow for building document intelligence applications will get you from demo to production faster than ever.

We’re excited to announce Snorkel Custom to help enterprises cross the chasm from flashy chatbot demos to real production AI value.

Snorkel AI will be at Google Cloud Next. The event will feature more than 700 sessions, so we picked five that we think you shouldn’t miss.

New unified prompting UI + RAG features, PDF annotation, Databricks MLflow integration, Snorkel Flow Studio, and datasets load 2x faster!

The 2023.R3 Snorkel Flow release is packed with improvements that amplify user experience, streamline workflows, and enhance performance, ensuring our users derive unparalleled value from our platform.

We used weak supervision to programmatically curate instruction tuning data for open-source LLMs to build a better GenAI.

This release eases Snorkel Flow application creation process and tightens the iteration loop. It also upgrades our security certifications.

The Future of Data-Centric AI showcased customer to successes, took a deep look at Snorkel Flow, and announced two new solutions.

Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector.

Ahmad Khan, Snowflake’s head of AI /ML strategy, presented “Scalable SQL + Python ML Pipelines in the Cloud” at |The Future of Data-Centric AI in 2022.

The Future of Data-centric AI will bring together a star-studded lineup of expert speakers from ML, AI, and data science.

Three experts gave a look into Capital One’s data-centric solutions to solve the bank’s business problems and improve customer experience.

Snorkel Flow’s Spring 2023 release focuses on adapting foundation models for enterprise use—including fine-tuning and additional features.

Credo AI’s head of data science explains at Snorkel’s FDCAI 2022 how his team works to operationalize responsible AI assessment tools.

As part of Snorkel AI’s partnership with Snowflake, users can now upload millions of rows of data seamlessly from their Snowflake warehouse into Snorkel Flow via the natively-integrated Snowflake connector. With a few clicks, a user can upload massive amounts of Snowflake data and quickly develop high-quality ML models using Snorkel Flow’s Data-Centric AI platform.

Snorkel AI is teaming up with Google Cloud to help F500 companies and AI innovators solve their most difficult problems.

As machine learning practitioners, few of us would expect the first version of a new model to achieve our objective. We plan for multiple rounds of iteration to address errors and improve performance, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework.

Most poll respondents at Snorkel AI’s recent Foundation Model Virtual Summit named questionable accuracy as the biggest barrier preventing them from getting organizational value from Foundation Models.

Snorkel AI held its Foundation Model Summit Jan 17, bringing together 12 presenters and over 600 attendees at 10 virtual sessions. The event drew registrants from across many sectors, including the tech industry, healthcare, and financial services.