InRule Features

Gives users the ability to edit or write custom HTML, Javascript or CSS code.

Allows users to edit or write custom code with programming languages.

Provides tools for inserting brand logos, colors, quotes, and other proprietary content.

Provides base-level application templates to build atop and which users can customize for specifc users and actions.

Allows the creation ofpage sequences, forms, and libraries for users navigating the application.

Lets users add data from existing sources when creating the initial application or changing data sources.

Continuously updates data as users or external data sources are edited.

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

Releases the application for access on desktop or mobile devices.

Lets users build cross-platform applications or provide specific templates for different device types.

Provides ability to manage application and maintenance from build, throughout the release, and until it's deactivation.

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Allows one to create or host applications built on top of business rules.

Provides APIs or other development tools for integrating with other applications.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Allows users to manage model artifacts and tracks which models are deployed in production.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Stores business rules in a catalog, to ensure business users can access them in their latest version.

Gives users the ability to collaborate on decision management, such as the ability to work simultaneously or annotate models.

Gives the ability to build a workflow based on business logic or a specific condition in order to route work to different people based on rules.

Provides the user with a no-code or low-code environment in which they can build applications and workflows, including drag-and-drop features.

Gives the user the ability to manage documents, including versioning and the ability to integrate those document with third-party applications.

Integrates data and processes from multiple sources into a single system.

Build interfaces once and use them across one or more processes.

Gives the user the ability to build and use forms on mobile devices.

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Visually displays connected applications and integrated data. Allows customization and management of workflow structures.

Processing changes to data sources and applications as changes are made in real-time.

Offers the ability to record processes performed by humans to be recreated by bots.

Control model usage and performance in production

Deploy mission-critical ML applications where and when you need them

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

Provides the ability to integrate data and transform data in order to facilitate decision-making.

Allows the user to connect to variety of applications across the business.

Allows users to write and edit business rules using business language, decision tables, etc.

Confirms whether your rules are executing as expected through testing them.

Provides the ability to create or integrate with predictive models.

Analyzes and compares the impact of automated decisions.`

Provides tools for simulating rules on real or fictitious operational data, and use the results to assess and refine the behavior of the rules.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives