V7 Darwin 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

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.

Can integrate well with other software.

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.

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.

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 recognize and detect emotions.

Provides the ability to recognize various types of objects in various scenarios and settings.

Provides the ability to recognize texts.

Processes video, or image sequences, to track objects or individuals.

Given images of a scene, or a video, scene reconstruction computes a 3D model of a scene.

Allows users to detect logos in images.

Detects inappropriate material in images.

Provides the ability to detect objects, humans, etc. in video footage.

Allows users to manage data from a number of sources

Tools for the systematic analysis of various types of data or statistics

Allow users to analyze face attributes, such as whether or not the face is smiling or the eyes are open.

Give users the ability to compare different faces to one another.

Allows users to train model and provide feedback regarding the model's outputs.

Allows users to select given items in an image for the purposes of image recognition.

Provides the ability to build custom image detection models.

Search for information using an image instead of text-based queries

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.

Supports integration with multiple data sources for seamless data input.

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

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.

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

Identifies and categorizes objects, patterns, or specific features within an image

Divides an image into multiple regions or objects to enable more precise analysis

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

Ability to recognize printed or written text within digital images or scanned documents

The ability to identify a barcode on or within an image or packaging

Create and manage digital catalog of products/services with their details, specifications, and price

Create, design and manage workflows for repetitive tasks

Process and analyze human language in text or audio form

Ability to handle large datasets

Crawling the Web or a database for video content

Process digital photos and/or scans of various document types and extract text from images (JPG, BMP, TIFF, GIF)

Import or export content

Identify and analyze unique facial features in images or videos

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

The ability to discover a specific item the customer is looking to purchase

Product suggestions provided to users based on past behavior and relevant data, such as browsing and purchasing history

Generative AI models can be used for image and video editing tasks that can automatically enhance images, remove noise or change styles

Assembly of graphs and charts for visualizing and tracking statistics/metrics

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

A request to search on an image that the user inputs

Detects the positions and orientations of human body parts or objects within an image or video

adding a text label to an image

Highlight content and/or make notations about parts of content

The process of discovering content on the web that is same or similar to logos, trademarks or other proprietary content

Capture photos for any type of use case

Software program that continuously adjusts its behavior based on observed data

Access the system via a mobile application

Search and find data in a structured format

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

Ability of software to identify an image among other data

A report showing what actions customers perform

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

Analyzing historical and current data and generating a model to help predict future outcomes.

Configure existing workflows to meet your organization's needs

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

Import and export data to and from software applications

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

Predict future data based on historical data sets

Graphical representation of data

Track status, assign actions, and control access to systems for devices within the organization

Allows users to manage data from a number of sources

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

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

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

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

Import, collect, and capture data from multiple sources

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

Connect to big data sources

Protect sensitive data for digital privacy

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Create, design and manage workflows for repetitive tasks

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