Hyperscience R36 Release

Automate More Use Cases

Classify text, emails, & unstructured documents by user intent, sentiment, or topic—letting ML technology find and extract the relevant data.

Scale The Use Of AI

Train better ML models faster with an ML-guided user experience that flags potential errors and anomalies during the training data labeling process.

Achieve End-To-End Processing

Reduce average handling time with an improved workflow engine that supports higher-quality decisions with required and dependent fields.

Watch a demo

Text Classification

Reduce costs and accelerate operations by automating the classification and routing of unstructured documents—without sacrificing accuracy.

Classify any text input, including documents, emails, or raw text.

Train classification models based on intent, sentiment or topic without involving technical resources.

Learn more

Text Classification

Reduce costs and accelerate operations by automating the classification and routing of unstructured documents—without sacrificing accuracy.

Classify any text input, including documents, emails, or raw text.

Train classification models based on intent, sentiment or topic without involving technical resources.

Learn more

Unstructured Extraction

Improve the efficiency of complex processes that rely on unstructured data. Extract valuable insights—such as co-signers from deeds, or names from divorce decrees—to make better decisions in less time.

Unlock valuable insights trapped in unstructured documents.

Easily train models with your own data to extract points of interest from a document or use one of our out-of-the-box models to extract entities like name, address, or organization.

Learn More

Unstructured Extraction

Unlock valuable insights trapped in unstructured documents.

Easily train models with your own data to extract points of interest from a document or use one of our out-of-the-box models to extract entities like name, address, or organization.

Learn More

Labeling Anomaly Detection

Get more from your intelligent automation investment. Scale the use of machine learning across your organization by building more robust ML models faster—without technical resources.

Teach AI to find the “needle in a haystack” during model training, where it highlights fields that aren’t consistent with similar documents.

Use an ML-guided interface to train higher-quality ML models in less time and with fewer samples.

Learn More

Labeling Anomaly Detection

Get more from your intelligent automation investment. Scale the use of machine learning across your organization by building more robust ML models faster—without technical resources.

Teach AI to find the “needle in a haystack” during model training, where it highlights fields that aren’t consistent with similar documents.

Use an ML-guided interface to train higher-quality ML models in less time and with fewer samples.

Learn More

And much more…

Product Theme	Improvements
Ease of Use and Deployment	Performance and training experience improvements for multiple bounding boxes through guided data labeling and model finetuning.
Ease of Use and Deployment	Better visibility and flexibility of Flows: - View failed flows & automatic retry - For faster overall document processing time. - Public API - For importing and managing the lifecycle of Flows. - Import files of any type for custom blocks - Use our Flows SDK to create custom code blocks which reference external files (like a CSV file) that can be easily used in the Flows UI by a business user.
Superior Accuracy	Automatic QA Sampling - For higher machine confidence and better automation rates, reducing manual setup and accelerating time-to-value.
	Korean language optimizations for best-in-class performance.
	New languages supported - Thai, Hebrew, Russian, Kazakh, Estonian, Czech, Slovak, Lithuanian, Latvian, Turkish, & Bulgarian.
Enterprise Scale	Machine Learning Improvements - Including Faster transcription, proactive alerts for layout variations and improved signature detection and identification.
	Reporting Improvements - A number of incremental reporting and data exporting enhancements, including the ability to bulk download submission activity logs from the submission table.
	New Integration with One Identify Safeguard - enables centralized secrets management in Hyperscience including encrypted storage, policy enforcement, role-based access control and audits.
Human Centered Approach	Improved, faster decisions with required and dependent fields in Human-in-the-Loop tasks - Tackle more complex use cases with better handling of process variations and control over case routing.

Full details in the release notes.

Hyperscience R36 Feature Demo

Watch this short on-demand demo showcasing our latest release (R36) and the progress we have made in unstructured document processing to handle all your text-based document processing in a single, unified platform.

Watch the demo to see how to:

Reduce costs and accelerate operations by automating the classification and routing from unstructured documents.
Improve the efficiency of complex processes by extracting valuable insights.
Scale the use of ML across your organization by training higher-quality ML models in less time and with with fewer samples.

Complete the form to watch the on-demand demo.

By Process

By Technology

Financial Services

Insurance

Government

Healthcare & Life Sciences

Hyperscience R36 Release

All Your Text-Based Document Processing In A Single, Unified Platform

Now You Can...

Automate More Use Cases

Scale The Use Of AI

Achieve End-To-End Processing

Text Classification

Text Classification

Unstructured Extraction

Unstructured Extraction

Labeling Anomaly Detection

Labeling Anomaly Detection

And much more…

Hyperscience R36 Feature Demo

Sign Up To Watch