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What is SourceX?

SourceX is a digital platform designed to streamline data transactions and managed sourcing services, effectively connecting businesses that possess proprietary operational records with AI labs and developers who are seeking datasets for training and evaluation needs. The platform meticulously qualifies suppliers, matches requests with appropriate sources, and manages critical processes such as rights review, usage permissions, privacy considerations, licensing agreements, delivery logistics, and payment processing. Buyers are required to submit detailed information about the data they need, including the domain, volume, format, historical context, and intended use; this ensures that data supplies are customized to specific orders rather than being drawn from a pre-existing inventory. Companies actively participate in assessing proposed terms and granting consent for each data release, with the added benefit of being able to perform a company evaluation without having to upload files or enter into a licensing contract. The datasets available can include a wide array of information, such as sales and support histories, engineering and IT documentation, various business records, workflows within finance and legal sectors, and logs pertaining to physical labor. The details regarding dataset availability, preparation, licensing rights, and terms are subject to the data owner’s involvement and require mutual agreement for each transaction, thereby ensuring a personalized approach to data sourcing that caters to the individual requirements of each buyer. This comprehensive methodology not only promotes transparency but also cultivates a trustworthy relationship between data providers and seekers, all within a secure and regulated environment, ultimately enhancing the efficiency of data exchange in the digital realm.

What is Keymakr?

Keymakr focuses on delivering comprehensive services in image and video data annotation, data creation, data collection, and data validation specifically tailored for AI and machine learning projects in the realm of computer vision. With a robust technological infrastructure and specialized knowledge, Keymakr adeptly oversees data management across multiple sectors. Embodying the philosophy of "Human teaching for machine learning," the firm emphasizes a collaborative approach that incorporates human insight into the machine learning process. Boasting an in-house team of more than 600 proficient annotators, Keymakr aims to provide bespoke datasets that significantly improve the precision and performance of machine learning systems. This commitment to quality ensures that their clients receive data solutions that are not only reliable but also tailored to meet specific project needs.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Dataset licenses are priced per engagement based on factors including volume, historical depth, uniqueness, preparation work, and requested exclusivity. Scope and commercial terms are agreed with the data owner for each transaction.

Pricing Information

$7/hour
Usually customized to the order
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Online Training

Company Facts

Organization Name

SourceX

Date Founded

2026

Company Location

United States

Company Website

sourcex.si

Company Facts

Organization Name

Keymakr

Date Founded

2015

Company Location

United States

Company Website

keymakr.com

Categories and Features

Categories and Features

AI/ML Model Training

Not specified

Computer Vision

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Data Validation

Not specified

Image Annotation

Not specified

Machine Learning

Not specified

Video Annotation

Not specified

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