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ease
features
design
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

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Dask
Kubernetes
TensorFlow

Integrations

Dask
Kubernetes
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Predusk Technology Private Limited

Founded

2014

Country

India

Website

labelfort.ai/

Vendor Details

Company Name

Snorkel AI

Founded

2019

Country

United States

Website

snorkel.ai/

Product Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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