Financial spreading
Improve the quality and consistency of credit risk analysis by extracting the necessary information from any financial statement using Snorkel Flow.
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Gain complete control over credit decisions
With Snorkel Flow, you can build custom financial spreading AI apps to extract data from any financial or non-financial documents. Go beyond brittle, off-the-shelf software and standard statements—without the bottleneck of manual labeling.
High-accuracy models
Develop highly accurate models to decrease the potential of errors with guided iteration and built-in analysis tools.
Faster, lower-cost extraction
Use programmatic labeling to train models that extract custom attributes in minutes instead of spending weeks or months on expensive hand-labeling.
Rapidly adaptable
Rapidly build apps that adapt to new attributes in a fraction of the time. Retrain models with ease to changing input data or business objectives.
Loan
application
application
10K 10Q
Incoporation
docs
Tax
statements
statements
Reviews
& surveys
& surveys
Private and secure
Pair complex qualitative risk assessment with custom quantitative analysis while keeping data private and secure. Avoid shipping data for off-premises manual labeling.
Data-centric AI
Snorkel AI is leading the shift from model-centric
to data-centric AI development to make AI practical.
to data-centric AI development to make AI practical.
Accelerated
Save time and costs by replacing manual labeling with rapid, programmatic labeling.
Adaptable
Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets.
Collaborative
Incorporate subject matter experts' knowledge by collaborating around a common interface–the data needed to train models.
Accurate
Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data.
Governable
Version and audit data like code, leading to more responsive and ethical deployments.
Private
Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.
Case study
Enterprise AI made practical
Enterprises ranging from Fortune 50 banks to global biotech, telecommunications and
insurance providers use Snorkel Flow to put AI to use.
10-100x
speedup in model development time
+90%
accuracy for ML model performance
Minutes
to customize ML models
Read case studies
A radically new approach to AI
Conventional AI approaches rely on generic third-party models, or brittle rule-based systems, or armies of human labelers. With Snorkel Flow, programmatically labeling unlocks a new workflow that accelerates AI app development.
With Snorkel Flow
Customize state-of-the-art models by training with your data & adapt to changing data or goals with a few lines of code.
Leverage cutting-edge ML to go beyond simple rules and retain the flexibility to audit and adapt.
Label thousands of data points programmatically in hours while keeping your data in-house and private.
With conventional approaches
Hand-labeled ML is hugely expensive, with usually no way to iterate, adapt, be privacy compliant, audit, or reuse.
Pre-trained vendor models often don’t work on your data, no way to customize, adapt, or audit.
Rules-based approaches often don’t perform well on complex data or adapt easily to data or goal changes.
Let's connect
Speed time to value, reduce costs, and unlock more AI possibility with the Snorkel Flow platform.
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