AI for banking

From customer experience to cybersecurity, Snorkel Flow provides banking innovators with a data-centric platform to build custom AI applications powered by programmatic data labeling.

Request a demo

AI For Banking

From customer experience to cybersecurity, Snorkel Flow provides banking innovators with a data-centric platform to build custom AI applications powered by programmatic data labeling.

Request a demo



Case study

Top U.S. bank

A top U.S. bank uses Snorkel Flow to quickly build AI applications that classify and extract information from their documents.
Read more



Problem

The bank estimated that, for a time-sensitive use case, hand-labeling data would take over a month.

Solution

With Snorkel Flow, the team produced a solution that was over 99% accurate in under 24 hours.

Results

The resulting AI application could be quickly and easily adapted to new problems and business lines.

99.1%

Snorkel Flow accuracy

<24hrs

from problem start

>250K

documents processed


Case Study

Top U.S. Bank

A top U.S. bank uses Snorkel Flow to quickly build AI applications that classify and extract information from their documents.
Read more



Problem

The bank estimated that, for a time-sensitive use case, hand-labeling data would take over a month.

99.1%

Snorkel Flow accuracy

Solution

With Snorkel Flow, the team produced a solution that was over 99% accurate in under 24 hours.

<24hrs

from problem start

Results

The resulting AI application could be quickly and easily adapted to new problems and business lines.

>250k

# documents processed


Case Study

Top U.S. Bank

A top U.S. bank uses Snorkel Flow to quickly build AI applications that classify and extract information from their documents.
Read More



Problem

The bank estimated that, for a time-sensitive use case, hand-labeling data would take over a month.

Solution

With Snorkel Flow, the team produced a solution that was over 99% accurate in under 24 hours.

Results

The resulting AI application could be quickly and easily adapted to new problems and business lines.

99.1%

Snorkel Flow accuracy

<24hrs

from problem start

>250k

# documents processed

Data-centric AI

Snorkel AI is leading the shift from model-centric
to data-centric AI development to make AI practical.
Image

Accelerated

Save time and costs by replacing manual labeling with rapid, programmatic labeling.
Image

Adaptable

Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets.
Image

Collaborative

Incorporate subject matter experts' knowledge by collaborating around a common interface–the data needed to train models.
Image

Accurate

Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data.
Image

Governable

Version and audit data like code, leading to more responsive and ethical deployments.
Image

Private

Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.

Use cases

AI solutions for banking

AI applications built using Snorkel Flow can boost revenues through increased personalization for customers and employees, and lower costs through efficiencies generated by higher automation, reduced errors rates, and better resource utilization.
Credit approval
Predict credit-worthiness with fairness and precision using extensive data and organizational resources.
Cyber risk management
Investigate suspicious IP addresses or traffic patterns from network data to prevent cybersecurity breaches.
Compliance monitoring
Extract loan rates, credit scores, or other custom attributes from contracts, emails, reports, balance sheets, S1, and other sources to monitor compliance.
Fraud detection
Identify fraud and money laundering patterns by extracting client ID, IBAN number, and transaction details.
Customer service
Predict issues and route interactions to the right team or fine-tune IVR or chatbot responses.
Intelligent pricing
Complement traditional pricing models, enabling more accurate prediction and confidence intervals.
Know your customer (KYC)
Confirm customer identity to open more accounts, improve ACH success rates, and reduce fraud.

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

Image
Customize state-of-the-art models by training with your data & adapt to changing data or goals with a few lines of code.
Image
Leverage cutting-edge ML to go beyond simple rules and retain the flexibility to audit and adapt.
Image
Label thousands of data points programmatically in hours while keeping your data in-house and private.

With conventional approaches

Image
Hand-labeled ML is hugely expensive, with usually no way to iterate, adapt, be privacy compliant, audit, or reuse.
Image
Pre-trained vendor models often don’t work on your data, no way to customize, adapt, or audit.
Image
Rules-based approaches often don’t perform well on complex data or adapt easily to data or goal changes.


Case study

Fortune 50 bank

In just weeks, a Fortune 50 bank achieved a 25+ point performance gain over a black box vendor solution for news analytics application with Snorkel Flow.
Read more



Problem

The bank needed an accurate way to tag companies in unstructured news text, link them to identifiers (e.g., stock tickers), and classify mentions by sentiment and other aspects.

Solution

The bank used Snorkel Flow to develop an AI-powered news analytics application that monitors target companies' press coverage in unstructured data feeds.

Results

With Snorkel Flow, the team achieved a 25+ point performance gain over a legacy vendor system and internal heuristic approaches.

45x

faster compared to hand-labeling

+90

F1 score for news analytics application

+25%

performance gain over black box vendor system



Case Study

Fortune 50 Bank

A Fortune 50 bank achieved a 25+ point performance gain over a black box vendor solution for news analytics application with Snorkel Flow- in just a few weeks.
Read more



Problem

The bank needed an accurate way to tag companies in unstructured news text, link them to identifiers (e.g., stock tickers), and classify mentions by sentiment and other aspects.

45x

faster compared to hand-labeling

Solution

The bank used Snorkel Flow to develop an AI-powered news analytics application that monitors target companies' press coverage in unstructured data feeds.

+90

F1 score for news analytics application

Results

With Snorkel Flow, the team achieved a 25+ point performance gain over a legacy vendor system and internal heuristic approaches.

+25%

point performance gain over black box vendor system


Case Study

Fortune 50 Bank

A Fortune 50 bank achieved a 25+ point performance gain over a black box vendor solution for news analytics application with Snorkel Flow- in just a few weeks.
Read More



Problem

The bank needed an accurate way to tag companies in unstructured news text, link them to identifiers (e.g., stock tickers), and classify mentions by sentiment and other aspects.

Solution

The bank used Snorkel Flow to develop an AI-powered news analytics application that monitors target companies' press coverage in unstructured data feeds.

Results

With Snorkel Flow, the team achieved a 25+ point performance gain over a legacy vendor system and internal heuristic approaches.

45x

faster compared to hand-labeling

+90

F1 score for news analytics application

+25%

point performance gain over black box vendor system

The platform for data-centric AI development

The platform for data-centric AI development

Dive in

[get_press_posts]
Press
Blog
Research
Case studies
Press
Image
November 17, 2022
Snorkel AI Accelerates Foundation Model Adoption with Data-centric AI


Image
November 17, 2022
AI startup Snorkel preps a new kind of expert for enterprise AI


Image
November 17, 2022
Snorkel dives into data labeling and foundation AI models


Image
July 28, 2022
Here’s why a gold rush of NLP startups is about to arrive


Blog
Image
November 17, 2022
Data-centric Foundation Model Development: Bridging the gap between foundation models and enterprise AI


Image
November 17, 2022
Better not bigger: How to get GPT-3 quality at 0.1% the cost


Image
November 3, 2022
Building an NLP application to analyze ESG factors in Earnings Calls using Snorkel Flow


Image
August 4, 2022
The Future of Data-Centric AI 2022 day 1 highlights


Research
Image
2022
Universalizing Weak Supervision


Image
2021
Ontology-driven weak supervision for clinical entity classification in electronic health records


Image
2017
Rapid Training Data Creation with Weak Supervision


Image
2016
Data Programming: Creating Large Datasets Quickly


Customer Stories
Image
September 30, 2022
How Schlumberger uses Snorkel Flow to enhance proactive well management


Image
September 30, 2022
How a global custodial bank automated KYC verification with Snorkel Flow


Image
September 28, 2022
How Memorial Sloan Kettering Cancer Center used Snorkel Flow to scale clinical trial screening


Image
February 26, 2022
How Genentech extracted information for clinical trial analytics with Snorkel Flow


Image

Are you ready to dive in?

Label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly—all in one platform.
Request a demo