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What is Macgence?

We have made significant progress in the AI value chain through numerous projects that integrate a wide array of data types, industries, and geographical areas. Our broad and diverse experiences enable us to effectively address specific challenges and improve solutions across various sectors. We deliver precision-crafted custom data sources that are designed to meet the unique needs of your model from different locations, all while maintaining rigorous compliance with GDPR, SOC 2, and ISO standards. Our data annotation and labeling services boast an exceptional accuracy rate of approximately 95% across all data forms, ensuring optimal performance for your models. During the early phases of development, assess your model's capabilities to receive an unbiased expert evaluation of crucial performance indicators such as bias, duplication, and ground truth responses. Furthermore, enhance the precision of your model by leveraging the skills of our dedicated validation team to verify and fine-tune your model's outputs for even better outcomes. This all-encompassing strategy guarantees that your AI solutions are not only effective but also ethical and dependable, paving the way for long-term success in the dynamic field of artificial intelligence. By prioritizing these principles, we aim to foster innovation while ensuring accountability in our methodologies.

What is Automaton AI?

With Automaton AI's ADVIT, users can easily generate, oversee, and improve high-quality training data along with DNN models, all integrated into one seamless platform. This tool automatically fine-tunes data and readies it for different phases of the computer vision pipeline. It also takes care of data labeling automatically and simplifies in-house data workflows. Users are equipped to manage both structured and unstructured datasets, including video, image, and text formats, while executing automatic functions that enhance data for every step of the deep learning journey. Once the data is meticulously labeled and passes quality checks, users can start training their own models. Effective DNN training involves tweaking hyperparameters like batch size and learning rate to ensure peak performance. Furthermore, the platform facilitates optimization and transfer learning on pre-existing models to boost overall accuracy. After completing training, users can effortlessly deploy their models into a production environment. ADVIT also features model versioning, which enables real-time tracking of development progress and accuracy metrics. By leveraging a pre-trained DNN model for auto-labeling, users can significantly enhance their model's precision, guaranteeing exceptional results throughout the machine learning lifecycle. Ultimately, this all-encompassing solution not only simplifies the development process but also empowers users to achieve outstanding outcomes in their projects, paving the way for innovations in various fields.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Macgence

Date Founded

2022

Company Location

India

Company Website

macgence.com

Company Facts

Organization Name

Automaton AI

Date Founded

2019

Company Location

India

Company Website

automatonai.com

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Categories and Features

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

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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