OORT DataHub Reviews & Ratings

OORT DataHub

5.0 out of 5 stars

Ratings and Reviews 13 Ratings

Total 5 out of 5 stars
ease 4.5 out of 5 stars
features 4.5 out of 5 stars
design 4.5 out of 5 stars
support 4.5 out of 5 stars

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What is OORT DataHub?

Our innovative decentralized platform enhances the process of AI data collection and labeling by utilizing a vast network of global contributors. By merging the capabilities of crowdsourcing with the security of blockchain technology, we provide high-quality datasets that are easily traceable. Key Features of the Platform: Global Contributor Access: Leverage a diverse pool of contributors for extensive data collection. Blockchain Integrity: Each input is meticulously monitored and confirmed on the blockchain. Commitment to Excellence: Professional validation guarantees top-notch data quality. Advantages of Using Our Platform: Accelerated data collection processes. Thorough provenance tracking for all datasets. Datasets that are validated and ready for immediate AI applications. Economically efficient operations on a global scale. Adaptable network of contributors to meet varied needs. Operational Process: Identify Your Requirements: Outline the specifics of your data collection project. Engagement of Contributors: Global contributors are alerted and begin the data gathering process. Quality Assurance: A human verification layer is implemented to authenticate all contributions. Sample Assessment: Review a sample of the dataset for your approval. Final Submission: Once approved, the complete dataset is delivered to you, ensuring it meets your expectations. This thorough approach guarantees that you receive the highest quality data tailored to your needs.

What is Alignerr?

Alignerr is a unique platform developed by Labelbox that integrates a specialized network with AI training data to connect AI development teams with knowledgeable subject-matter experts, facilitating the creation of customized training data and evaluation of model results across a wide range of fields such as science, finance, law, medicine, engineering, coding, and language. This innovative service matches experts based on their qualifications and specific knowledge areas, allowing for the careful evaluation and calibration of contributors, while also offering structured data crucial for training, reinforcement learning, and analytical processes. Through Alignerr, contributors can access remote project opportunities, complete tailored identity and role assessments, and handle contracts and payments through a dedicated application, making the process efficient and user-friendly. By streamlining the connection between experts and AI labs, Alignerr strives to improve the overall quality of human feedback, reasoning, annotation, and evaluation data that are vital for effective AI development. The platform not only promotes collaboration among professionals but also guarantees that AI teams obtain the specialized support they need to tackle their projects successfully, ultimately leading to more reliable and innovative AI applications. This multifaceted approach ensures that both contributors and developers benefit from enhanced engagement and resource sharing in the evolving landscape of artificial intelligence.

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Integrations Supported

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Integrations Supported

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API Availability

API Availability

Pricing Information

Please contact us to get a quote on pricing

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone

Supported Platforms

Not specified

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

OORT DataHub

Company Location

United States

Company Website

www.oortech.com

Company Facts

Organization Name

Labelbox

Date Founded

2018

Company Location

United States

Company Website

labelbox.com/products/alignerr/

Categories and Features

AI Development

Not specified

AI Infrastructure

Not specified

Blockchain

Not specified

Crowdsourcing

Not specified

Data Annotation

Not specified

Data Collection

Not specified

Data Labeling

Not specified

RLHF

Not specified

Web Dataset Providers

Not specified

Categories and Features

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