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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.

What is Ango Hub?

Ango Hub serves as a comprehensive and quality-focused data annotation platform tailored for AI teams. Accessible both on-premise and via the cloud, it enables efficient and swift data annotation without sacrificing quality. What sets Ango Hub apart is its unwavering commitment to high-quality annotations, showcasing features designed to enhance this aspect. These include a centralized labeling system, a real-time issue tracking interface, structured review workflows, and sample label libraries, alongside the ability to achieve consensus among up to 30 users on the same asset. Additionally, Ango Hub's versatility is evident in its support for a wide range of data types, encompassing image, audio, text, and native PDF formats. With nearly twenty distinct labeling tools at your disposal, users can annotate data effectively. Notably, some tools—such as rotated bounding boxes, unlimited conditional questions, label relations, and table-based labels—are unique to Ango Hub, making it a valuable resource for tackling more complex labeling challenges. By integrating these innovative features, Ango Hub ensures that your data annotation process is as efficient and high-quality as possible.

Media

Media

Integrations Supported

Integrations Supported

AWS AI Services
Azure Blob Storage
Azure Databricks
Google Cloud AI Infrastructure
Snowflake

API Availability

API Availability

Has API

Pricing Information

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

Pricing Information

Free version allows users to invite up to 5 people and annotate 10k assets. Paid Cloud version allows for unlimited assets, with a charge for every 5 users. For on-premise installation contact us for pricing.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Keymakr

Date Founded

2015

Company Location

United States

Company Website

keymakr.com

Company Facts

Organization Name

iMerit

Date Founded

2013

Company Location

Silicon Valley

Company Website

imerit.ai/products/ango-workflow-automation-by-imerit/

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

Categories and Features

AI Fine-Tuning

Not specified

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Process/Workflow Automation

Computer Vision

Blob Detection & Analysis
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration

Data Annotation

Not specified

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Image Annotation

Not specified

LLM Evaluation

Not specified

RLHF

Not specified

Video Annotation

Not specified

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