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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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.

Description

Public safety officers, caseworkers, regulatory inspectors, and other government employees often face challenges when it comes to documenting information outside of the office, leading to potential inaccuracies in data collection. Data Collect Mobile offers a modern solution, replacing unreliable and unsecured paper files and traditional field tools these professionals have historically utilized. This innovative application leverages the advanced features of mobile devices, ensuring that information is recorded with precision and fortified with robust security measures. Users can initiate a case file and seamlessly integrate relevant details using their device’s inherent capabilities. The app’s camera and video functions provide a visual documentation option, while speech-to-text technology allows for easy capture of verbal notes or interviews. Additionally, every entry is automatically accompanied by GPS location data, weather conditions, and precise timestamps, enhancing the reliability and context of the information collected. With Data Collect Mobile, field data collection becomes not only more efficient but also significantly more dependable and secure.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS GovCloud No 

Integrations

AWS GovCloud Yes 

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 Yes 
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 Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Shaip

Country

United States

Website

www.shaip.com

Vendor Details

Company Name

Tyler Technologies

Country

United States

Website

www.tylertech.com/products/data-collect-mobile

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 

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