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What is MInD Platform?
Through our MIND platform, we develop customized solutions designed to meet your unique challenges. Following this, we offer training for your team to effectively manage these solutions and make necessary adjustments to the underlying models. A diverse array of industries, including industrial, medical, and consumer services, utilizes our offerings to automate processes that once depended heavily on human effort; tasks such as performing visual inspections for product quality, ensuring food sector quality assurance, counting and categorizing biological cells or chromosomes in research, assessing performance in gaming, measuring geometric parameters like position, size, profile, distance, and angle, monitoring agricultural products, and executing time series analyses in both healthcare and sports. The advanced functionalities of our MIND platform enable businesses to effortlessly create comprehensive AI solutions that are tailored to their specific requirements. This platform provides all the critical tools needed for each of the five phases involved in developing deep learning solutions, facilitating a streamlined and effective development experience. By harnessing the capabilities of our MIND platform, companies can stay ahead in an ever-changing technological environment, ultimately driving innovation and success. Our commitment is to ensure that your business not only adapts but thrives in this fast-paced digital era.
What is IntelliHub?
We work in close partnership with companies to pinpoint the common obstacles that prevent organizations from reaching their goals. Our innovative designs strive to unveil opportunities that conventional techniques have made unfeasible. Both large enterprises and smaller firms require an AI platform that grants them complete control and empowerment. Addressing data privacy is essential while delivering AI solutions in a manner that is budget-friendly. By enhancing operational efficiency, we focus on augmenting human labor instead of replacing it entirely. Our AI implementation facilitates the automation of monotonous or dangerous tasks, reducing the necessity for human involvement and speeding up processes infused with creativity and empathy. Machine Learning endows applications with advanced predictive capabilities, allowing for the development of classification and regression models. Moreover, it provides tools for clustering and visualizing various groupings. Supporting a wide array of ML libraries, including Weka, Scikit-Learn, H2O, and TensorFlow, it features around 22 unique algorithms designed for crafting classification, regression, and clustering models. This adaptability not only empowers organizations but also ensures their ability to flourish amidst the swiftly changing technological landscape, fostering a culture of innovation and resilience.
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
Machine Intelligence
Company Location
Hungary
Company Website
mi.services
Company Facts
Organization Name
Spotflock
Date Founded
2017
Company Location
India
Company Website
intellihub.ai/
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
