Telecommunications & Cyber
A top U.S. bank uses Snorkel Flow to quickly build AI applications that classify and extract information from their documents. On one recent time-sensitive use case, the bank had estimated over a month of hand-labeling to build a model. With Snorkel Flow, the team produced a solution that was over 99% accurate in under 24 hours, and that could be quickly and easily adapted to new problems and business lines.
Snorkel Flow Accuracy
From problem start
# Documents processed
Label and tag text, structured, semi-structured, and multi-modal data
Extract entities, relationships, and structured information from complex documents and forms
Ranking of content for relevance and other custom factors
Snorkel Flow is based on technology developed at the Stanford AI Lab, and deployed with some of the world's leading organizations. For example, the Snorkel AI team deployed an early version of the Snorkel Flow technology with teams at Google, finding that it could replace hand-labeling hundreds of thousands of data points and offer increased flexibility and speed.
Hand labels replaced
Improvement by repurposing organizational resources
Labels in < 30 min.
Successful AI solutions require collaboration across roles and teams — from the subject matter expert's knowledge to the ML engineer's deployment pipeline, Snorkel Flow is the only end-to-end platform that truly brings all roles together via the data.
Accelerate your data science development process. Go fast and deep in developing complex machine learning applications quickly and with full access to modern, state-of-the-art techniques.
Subject Matter Experts
Go far beyond hand-labeling data. Inject rich domain expertise and drive end-to-end AI solutions.
Break free of the hand-labeled training data bottleneck. Rapidly and iteratively develop training datasets and then train, deploy, and monitor pre-installed or custom models.
Snorkel Flow builds on and productionizes years of research represented in over thirty peer-reviewed research papers and deployments with some of the world’s leading organizations, covering use cases in text, structured, semi-structured, telemetry, image, video, time series, and other data types.
Video & Time Series Data