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design
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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Fuga's Co-Designer is an innovative creative automation tool that seamlessly adjusts designs for various formats while maintaining the integrity of visual hierarchy and overall composition. It is specifically designed for agencies, in-house creative teams, and designers who aim to boost production efficiency without compromising on quality. Utilizing advanced AI, Co-Designer comprehends design elements beyond mere dimensions, ensuring that every resized asset retains balance, appropriate spacing, and adherence to brand standards. Notable features encompass intelligent native resizing that effectively reconfigures layouts across different formats, automated enforcement of brand guidelines regarding colors, fonts, spacing, and logo positioning, as well as the capability to quickly generate numerous design variations from a single original. Moreover, the platform integrates effortlessly with Adobe InDesign via a native plugin, and also provides API and SDK alternatives for tailored workflow solutions. This adaptability makes Co-Designer an invaluable asset for any design team looking to enhance their creative output while upholding brand consistency.

Description

Segmind simplifies access to extensive computing resources, making it ideal for executing demanding tasks like deep learning training and various intricate processing jobs. It offers environments that require no setup within minutes, allowing for easy collaboration among team members. Additionally, Segmind's MLOps platform supports comprehensive management of deep learning projects, featuring built-in data storage and tools for tracking experiments. Recognizing that machine learning engineers often lack expertise in cloud infrastructure, Segmind takes on the complexities of cloud management, enabling teams to concentrate on their strengths and enhance model development efficiency. As training machine learning and deep learning models can be time-consuming and costly, Segmind allows for effortless scaling of computational power while potentially cutting costs by up to 70% through managed spot instances. Furthermore, today's ML managers often struggle to maintain an overview of ongoing ML development activities and associated expenses, highlighting the need for robust management solutions in the field. By addressing these challenges, Segmind empowers teams to achieve their goals more effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adobe InDesign Yes 
Hyperbolic No 

Integrations

Adobe InDesign No 
Hyperbolic Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$5
Free Trial Yes 
Free Version Yes 

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Fuga

Founded

2018

Country

Israel

Website

fuga.tech

Vendor Details

Company Name

Segmind

Founded

2020

Country

India

Website

Segmind.com

Product Features

Graphic Design

Collaboration Yes 
Data Visualization Yes 
Filtering Yes 
Image Database Yes 
Image Editor Yes 
Templates Yes 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization 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 

Alternatives

Alternatives