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features
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support

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Description

Using our MIND platform, we create tailored solutions to address your specific challenges. Subsequently, we provide training for your team to manage these solutions and adjust the underlying models as necessary. Companies across various sectors, including industrial, medical, and consumer services, leverage our products and services to automate tasks that were previously reliant on human intervention, such as conducting visual inspections for product quality, ensuring quality assurance in the food sector, counting and categorizing cells or chromosomes in biomedical research, analyzing gaming performance, measuring geometrical attributes like position, size, profile, distance, and angle, tracking agricultural objects, and conducting time series analyses in healthcare and sports. With the capabilities offered by our MIND platform, businesses can seamlessly develop comprehensive AI solutions tailored to their needs. This platform equips you with all the essential resources required for each of the five stages involved in creating deep learning solutions, ensuring a smooth and efficient development process. Ultimately, our goal is to empower your business to thrive in a rapidly evolving technological landscape.

Description

The Intel® Distribution of OpenVINO™ toolkit serves as an open-source AI development resource that speeds up inference on various Intel hardware platforms. This toolkit is crafted to enhance AI workflows, enabling developers to implement refined deep learning models tailored for applications in computer vision, generative AI, and large language models (LLMs). Equipped with integrated model optimization tools, it guarantees elevated throughput and minimal latency while decreasing the model size without sacrificing accuracy. OpenVINO™ is an ideal choice for developers aiming to implement AI solutions in diverse settings, spanning from edge devices to cloud infrastructures, thereby assuring both scalability and peak performance across Intel architectures. Ultimately, its versatile design supports a wide range of AI applications, making it a valuable asset in modern AI development.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Caffe No 
Cameralyze No 
EndoAim No 
Hugging Face No 
Intel Geti No 
Intel Open Edge Platform No 
Keras No 
LaunchX No 
Nero AI No 
Nutanix Karbon Platform Services No 
ONNX No 
PaddlePaddle No 
PyTorch No 
TensorFlow No 

Integrations

Caffe Yes 
Cameralyze Yes 
EndoAim Yes 
Hugging Face Yes 
Intel Geti Yes 
Intel Open Edge Platform Yes 
Keras Yes 
LaunchX Yes 
Nero AI Yes 
Nutanix Karbon Platform Services Yes 
ONNX Yes 
PaddlePaddle Yes 
PyTorch Yes 
TensorFlow Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Machine Intelligence

Country

Hungary

Website

mi.services

Vendor Details

Company Name

Intel

Founded

1968

Country

United States

Website

www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Product Features

Deep Learning

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

Alternatives

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MXNet

The Apache Software Foundation

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