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Average Ratings 0 Ratings

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ease 0 out of 5 stars
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design 0 out of 5 stars
support 0 out of 5 stars

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Description

Alignerr is a specialized network and AI training-data platform offered by Labelbox, designed to link AI development teams with subject-matter experts for the generation of tailored training data and the assessment of model outcomes across various disciplines, including science, finance, law, medicine, engineering, coding, and language. This service facilitates the matching of experts based on their qualifications and domain knowledge, along with the evaluation and calibration of contributors, while providing organized data essential for model training, reinforcement learning, and evaluation processes. Contributors can seek remote project opportunities via Alignerr, undergo specific identity and role assessments, and manage contracts and payments through its dedicated application. By providing a streamlined approach to connecting experts with AI labs, Alignerr aims to enhance the quality of human feedback, reasoning, annotation, and evaluation data necessary for insightful AI development. The platform not only fosters collaboration but also ensures that AI teams receive the expert assistance they require for their specialized projects.

Description

Shaip is a comprehensive AI data platform delivering precise and ethical data collection, annotation, and de-identification services across text, audio, image, and video formats. Operating globally, Shaip collects data from more than 60 countries and offers an extensive catalog of off-the-shelf datasets for AI training, including 250,000 hours of physician audio and 30 million electronic health records. Their expert annotation teams apply industry-specific knowledge to provide accurate labeling for tasks such as image segmentation, object detection, and content moderation. The company supports multilingual conversational AI with over 70,000 hours of speech data in more than 60 languages and dialects. Shaip’s generative AI services use human-in-the-loop approaches to fine-tune models, optimizing for contextual accuracy and output quality. Data privacy and compliance are central, with HIPAA, GDPR, ISO, and SOC certifications guiding their de-identification processes. Shaip also provides a powerful platform for automated data validation and quality control. Their solutions empower businesses in healthcare, eCommerce, and beyond to accelerate AI development securely and efficiently.

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 No 
Free Version No 

Deployment

Web-Based No 
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 No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Labelbox

Founded

2018

Country

United States

Website

labelbox.com/products/alignerr/

Vendor Details

Company Name

Shaip

Country

United States

Website

www.shaip.com

Product Features

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 

Alternatives

Alternatives

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