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What is Shaip?
Shaip is a leading provider of end-to-end AI data services, specializing in transforming diverse raw data into high-quality, ethical datasets essential for training advanced AI and machine learning models. The company sources and curates extensive datasets from over 60 countries, covering multiple formats such as text, audio, images, and video, with a particular emphasis on healthcare data including millions of unstructured patient notes, thousands of hours of physician audio, and millions of medical images like MRIs and X-rays. Shaip’s expert annotation teams deliver precise labeling for a broad range of applications, including image segmentation, object detection, and toxic content moderation, ensuring model accuracy across industries. The platform supports conversational AI development through multilingual audio datasets encompassing 60+ languages and dialects, and advanced generative AI services utilizing human-in-the-loop methods to fine-tune large language models for better contextual understanding. Privacy and compliance are foundational, with Shaip adhering to HIPAA, GDPR, ISO 27001, SOC 2 Type II, and ISO 9001 standards, and offering robust data de-identification services that mask sensitive information while retaining usability. Their automated data validation tools ensure only the highest quality data reaches human review, detecting anomalies like duplicate audio, background noise, or fake images. Shaip serves diverse industries such as healthcare, eCommerce, and conversational AI, providing scalable data solutions to accelerate AI innovation. The company’s extensive off-the-shelf data catalogs and custom data licensing options offer cost-effective alternatives to building datasets from scratch. With global partnerships and a strong focus on ethical data practices, Shaip helps organizations develop trustworthy, high-performance AI models. Overall, Shaip is a trusted partner for businesses looking to harness the power of precise and diverse AI data.
What is Connetra?
Connetra functions as a holistic data catalog solution that equips organizations with in-depth insights into their interconnected data ecosystems, allowing them to create alerts that improve their understanding of data integrity.
With Connetra, users can map out the complete data lineage in their organization, which empowers even non-technical users to participate in insightful data exploration. The platform also supports the creation of alerts that help track data accuracy, ensuring that users can keep pace with the ever-evolving data landscape.
In addition, Connetra features intuitive search functionalities that allow users to quickly locate the data they need. By leveraging specific keyword searches or exploring related datasets, individuals can seamlessly navigate through and discover relevant data assets. This innovative tool not only transforms the way organizations interact with their data but also fosters a culture of data-driven decision-making across all levels of the organization. Ultimately, Connetra enables businesses to fully leverage their data resources, driving efficiency and strategic growth.
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Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
$12/user/month
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Shaip
Company Location
United States
Company Website
www.shaip.com
Company Facts
Organization Name
Connetra
Date Founded
2023
Company Location
Spain
Company Website
www.connetra.com
Categories and Features
AI Training Data Providers
Not specified
Data Annotation
Not specified
Data Catalog
Not specified
Data Collection
Not specified
Data De-Identification
Not specified
Data Labeling
Not specified
Machine Learning
Not specified
RLHF
Not specified
Categories and Features
Data Catalog
Not specified