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features
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support

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Description

LabelFort, a comprehensive data annotation solution from Predusk AI, is designed specifically for AI teams that require their training data to meet rigorous audit standards. The platform utilizes AI pre-labeling to automate repetitive tasks, while one of five quality assurance workflows—ranging from single pass to double-blind reviews—ensures that every entry is ultimately validated by a human. Each dataset culminates in a detailed evidence pack that includes versioned pre-labels, a secure log documenting the labelling, review, and approval processes, along with inter-annotator agreement metrics, all aligned with compliance requirements such as the EU AI Act, HIPAA, GDPR, SOC 2, and DPDP documentation. Users can annotate a variety of data types—including images, videos, text, audio, LiDAR, DICOM, documents, and RLHF—through a unified platform equipped with an annotation canvas, ontology and form builder, QA console, audit log viewer, model registry, and dataset management features. With eight distinct user roles that incorporate unique routing and access protocols, teams have the flexibility to manage the platform independently or enhance their capabilities by engaging a trained domain specialist team via the Hire a Team service. This seamless integration of AI and human oversight ensures that data integrity is maintained throughout the annotation process, aiding in compliance and quality assurance.

Description

Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Predusk Technology Private Limited

Founded

2014

Country

India

Website

labelfort.ai/

Vendor Details

Company Name

Scale AI

Founded

2016

Country

United States

Website

scale.com/data-engine

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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