Appen Features

Allows administrators to assign role-based user access for specific data sets

Hides and masks sensitive data automatically based on user permissions

Provides historical insights into original data sources and transformations made to data sets

Create, design and manage workflows for repetitive tasks

Offers simple search capabilities to discover specific data sets

Allows users and administrators to easily clean data to maintain quality and integrity

Converts data formats of source data into the format required for the reporting system without mistakes

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Allows users to comment on data sets to help future users better interact and interpret the data

Permits profiling of data sets for increased organization, both by users and machine learning

Creates a business glossary for faster understanding by the average business user

Indexes metadata descriptions for easier searching and enhanced insights

Verify, organize, manage & store enterprise data assets in a centralized repository

Manage and store data in a database

Ability to handle large datasets

Automates recommendations for users based on machine learning functionality

Offers natural language querying functionality for non-technical users

Cleans data to improve quality via automation

Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.

Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more.

Ensures the data is of a high quality as compared to benchmark.

Gives user the ability to review and edit labels.

Uses models to predict the correct label for a given input (image, video, audio, text, etc.).

Automatically route input to the optimal labeler or labeling service based on predicted speed and cost.

Has the ability to place imaginary boxes or polygons around objects or pixels in an image.

has the ability to detect objects within images.

Track unique object IDs across multiple video frames

Supports a range of different types of images (satelite, thermal cameras, etc.)

Gives user the ability to extract entities from text (such as locations and names).

Gives user the ability to tag text based on its sentiment.

Gives user the ability to label and verify text data in an image.

Allows the user to transcribe audio.

Gives user the ability to label emotions in recorded audio.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

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

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Retrieval of embedded metadata that is present within a file

Data is backed up automatically to prevent data loss

Search and filter data across systems to locate required information by entering keywords or certain criteria

Provides a channel for team members to share media files, communicate, and work together

Track and document all activities across devices, networks, and other systems

Verify the identity of users/devices to enable secure access

Protect sensitive data for digital privacy

Track the management and flow of data throughout the organization

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Discover and connect variety of data sources to the application for analysis

An organized inventory of all data assets

Allows users to manage data from a number of sources

Organize and group data or items based on various criteria

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

View and track pertinent metrics to find patterns and gain insights from data

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Assemble applications and processes by dragging over and arranging pre-built components

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Allow users to access multiple services after entering their login credentials once

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Centralized repository to store content and assets

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Import and export data to and from software applications

Define levels of authorization for access to specific files or systems

Graphical representation of data

Application programming interface that allows for integration with other systems/databases