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What is TranscribeMe?

The way we view data is changing, and currently, companies are increasingly depending on reliable and accurate transcription and data annotation services. We have created an innovative platform for task distribution and workforce management that upholds the highest standards of information security, ensuring your data is securely encrypted and meticulously managed. Our workflows are designed to meet HIPAA and GDPR regulations, and we offer flexible services, including the option to geofence our workforce within specific locations. The technology and methodologies we've put in place enable us to consistently provide exceptional data at competitive rates. For artificial intelligence and machine learning models to perform effectively, they require data tailored to particular applications. Leveraging our capability to assemble large teams of professionals, we can deliver high-quality data for a wide range of uses, including generating interactions for contact centers, producing images, and gathering review and survey data. This dedication to providing superior service establishes us as a frontrunner in the data services sector, equipped to fulfill the diverse requirements of our clients while adapting to the evolving landscape of data needs. Ultimately, our focus on innovation and quality ensures that we not only meet but exceed industry standards.

What is LabelFort?

LabelFort, an all-encompassing data annotation platform created by Predusk AI, caters specifically to AI teams that need their training data to adhere to strict audit requirements. This innovative platform harnesses AI pre-labeling to streamline repetitive tasks, while one of the five available quality assurance workflows—ranging from single pass to double-blind reviews—guarantees that each entry is ultimately confirmed by a human. Each dataset concludes with a comprehensive evidence pack, which contains versioned pre-labels, a secure log that tracks the labeling, review, and approval processes, along with inter-annotator agreement metrics, all in accordance with compliance frameworks such as the EU AI Act, HIPAA, GDPR, SOC 2, and DPDP documentation. Users can annotate various data types—including images, videos, text, audio, LiDAR, DICOM, documents, and RLHF—utilizing a cohesive platform that features an annotation canvas, ontology and form builder, QA console, audit log viewer, model registry, and dataset management tools. With eight unique user roles that provide tailored routing and access protocols, teams can either operate the platform autonomously or enhance their capabilities by consulting with a trained domain specialist team through the Hire a Team service. This effective combination of automated AI processes and human validation ensures the integrity and quality of the data throughout the annotation process, supporting compliance and quality assurance in a robust manner. Additionally, the platform is continuously updated to incorporate user feedback, further enhancing its usability and effectiveness for diverse annotation needs.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$0.79 per minute

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Online Training

Company Facts

Organization Name

TranscribeMe

Date Founded

2011

Company Location

United States

Company Website

transcribeme.com

Company Facts

Organization Name

Predusk Technology Private Limited

Date Founded

2014

Company Location

India

Company Website

labelfort.ai/

Categories and Features

Data Annotation

Not specified

Speech Recognition

Audio Capture
Automatic Transcription
Customizable Macros
Multi-Languages
Voice Recognition

Categories and Features

Data Annotation

Not specified

Data Labeling

Not specified

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