Solutions

Watchful Solutions

Watchful's Machine Teaching Solution for Data-Centric AI places the control of data back into the hands of data scientists and domain experts for any industry.

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Solutions by Role

Data Scientist

Be fast. Be independent. Rapidly iterate on new ideas to ship better models, faster without painful hand labeling or relying on a legacy outside service to develop your training data sets. Have an idea at breakfast - train your first model by lunchtime.

Iterative, feedback-driven workflow lets you know the accuracy of your data, faster.

Engaging and rewarding workflow that gives users a sense of direction and progress towards a modeling outcome.

Integrates with standard tooling (ETL, MLOps, etc.) to automate the labeling process within your own infrastructure.

Data Science Managers

Drastically increase team productivity, build agility and explainability into your model pipelines and help drive the Machine Learning Transformation at your organization with Watchful. Build pipelines that are flexible, easy to maintain, and provide immediate impact into your business.

Remove the data labeling bottleneck and accelerate ML adoption in your organization.

Rapidly refresh models in production and respond to change in your environments.

Focus on the business’s most important data problems that were previously out of reach.

Domain Experts "In-The-Loop"

The data accuracy depends on the knowledge inserted by the data owner and user. And when the data you are using requires true subject matter experts, Watchful’s intuitive machine teaching solution empowers even the most non-technical user to quickly insert their domain knowledge with ease!

Go beyond Excel! Explore and define your data 4x faster than typical spreadsheet methods.

Ensure consistency and accuracy within your data and apply internal conventions to reduce errors.

Quickly identify patterns and relationships within your data to streamline your data workflow.

Solutions by Industry

Use Watchful across multiple industries such as manufacturing, retail, finance, life sciences, and more.

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Healthcare

Electronic Medical Record (EMR) extraction and classification

Physician Triage

Scientific Literature Intelligence and Processing

e-Commerce

Product Cataloging

Fraud & Spam Detection

Recommendation Systems

Finance

Fraud Detection

Anti-money Laundering

Contract & Document Intelligence

Telecommunications

Robocall Detection

Network Traffic Classification

Customer Churn Prediction

Cybersecurity

Threat Intelligence

Spam Classification

Bad-actor Identification

Healthcare

Electronic Medical Record (EMR) extraction and classification

Physician Triage

Scientific Literature Intelligence and Processing

e-Commerce

Product Cataloging

Fraud & Spam Detection

Recommendation Systems

Finance

Fraud Detection

Anti-money Laundering

Contract & Document Intelligence

Telecommunications

Robocall Detection

Network Traffic Classification

Customer Churn Prediction

Cybersecurity

Threat Intelligence

Spam Classification

Bad-actor Identification

Use Cases

Classification

Whether your data is unstructured, structured, semi-structured or even multi-modal, Watchful provides a rich and expressive toolset to solve your business needs.

Multi-field Full-Text Classification

Single class, Multi-Class or Multi-Label

Balanced or imbalanced datasets

Information Extraction (IE)

Extract and classify named entities and/or events from text and documents to rapidly process large volumes of structured or unstructured text.

Named-Entity and Event Recognition (NER)

Knowledge management and discovery

Document and Contract Intelligence

Business Impact

Accelerate your machine learning projects by removing the labeling bottleneck

Agility

The world changes, models drift. Watchful’s programmatic labeling interface enables organizations to rapidly deploy new models in production by automating the labeling process and removing human-produced labels from the critical path. Generate new labels as a part of an existing ETL pipeline and/or update existing datasets by simply developing heuristics.

Explainability

With more regulatory and compliance pressure to produce AI models responsibly, developing observability and explainability into the training sets that fuel machine learning models has become a requirement. Watchful makes this easy with inherently observable and explainable statistical techniques that make explainability a priority.

Productivity

Drastically increase your data scientist's productivity with an engaging, metrics-driven workflow that puts data scientists in the driver seat to build their own training data sets in hours or days instead of weeks or months. Rapidly prototype and test new ideas to build a business case while simultaneously improving the performance and longevity of your models in production.

AI Transformation

Bring transformative, impactful AI applications to more areas of your business by removing one of the biggest bottlenecks, the data. Tackle more complex and otherwise impossible projects to accelerate your AI transformation today.