[
Shaip C... Reviews
](https://www.g2.com/products/shaip-cloud/reviews)

[
Shaip C... Reviews
](https://www.g2.com/products/shaip-cloud/reviews)

# Shaip Cloud Features

##### 
## Data Governance (3)

User Access Management

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

Dynamic Data Masking

Hides and masks sensitive data automatically based on user permissions

Data Lineage

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

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##### 
## Data Preparation (4)

Search

Offers simple search capabilities to discover specific data sets

Data Quality and Cleansing

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

Data Transformation

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

Data Modeling

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

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##### 
## Collaboration (4)

Commenting

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

Profiling and Classification

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

Business and Data Glossary

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

Metadata Management

Indexes metadata descriptions for easier searching and enhanced insights

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##### 
## Artificial Intelligence (3)

Machine Learning Recommendations

Automates recommendations for users based on machine learning functionality

Natural Language Query

Offers natural language querying functionality for non-technical users

Automatic Data Cleansing

Cleans data to improve quality via automation

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##### 
## Compliance (2)

GDPR compliant

Meets GDPR requirements for pseudonymisation under the Data Protection by Design and by Default requirements.

CCPA compliant

Meets de-identification requirements under the CCPA.

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##### 
## Functionality (3)

Static pseudonymization

Offers traditional static de-identification (also known as consistent replacement), where the pseudonymized data uses the same pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox and the Robert Fox name is used multiple times. This type of pseudonymization carries some risks of re-identification if paired with enough datasets.

Dynamic pseudonymization

Offers dynamic de-identification (also known as random replacement), where the pseudonymized data uses different pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox once, and then the next time the data is used the name changes to Michael Jones. This type of pseudonymization carries lesser risk of re-identification if paired with many datasets.

Batch de-identification

Offers methods to de-identify large volumes of data using batch files.

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##### 
## Connectivity (2)

Mobile SDK

Connects to mobile platforms using a mobile SDK.

Web services APIs

Offers APIs to connect products.

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##### 
## Quality (4)

Labeler Quality

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

Task Quality

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

Data Quality

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

Human-in-the-Loop

Gives user the ability to review and edit labels.

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##### 
## Automation (2)

Machine Learning Pre-Labeling

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

Automatic Routing of Labeling

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

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##### 
## Image Annotation (4)

Image Segmentation

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

Object Detection

has the ability to detect objects within images.

Object Tracking

Track unique object IDs across multiple video frames

Data Types

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

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##### 
## Natural Language Annotation (3)

Named Entity Recognition

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

Sentiment Detection

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

OCR

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

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##### 
## Speech Annotation (2)

Transcription

Allows the user to transcribe audio.

Emotion Recognition

Gives user the ability to label emotions in recorded audio.

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##### 
## Generative AI (2)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

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##### 
## Agentic AI - Machine Learning Data Catalog (5)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Decision Making

Makes informed choices based on available data and objectives

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[

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4.1/5

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##### Categories on G2

[
Machine Learning Data Catalog
](https://www.g2.com/categories/machine-learning-data-catalog)[
Data Labeling
](https://www.g2.com/categories/data-labeling)[
Data De-Identification
](https://www.g2.com/categories/data-de-identification)

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