Azure Machine Learning Studio
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Cognitive Search & Machine Learning
- Ready-to-use Answers
- Digital Books
- Virtual Topics
- Reusable Knowledge
- CSS Customization
- JavaScript Support
- Web Server Deployment
Pricing Info
Pricing Info
Theum has six options for enterprise pricing that is based on the number of users you need to support in your organization. The details for these are as follows.
Theum Server XS – €200/month
- 1 to 10 Users
Theum Server S – €500/month
- 11 to 500 Users
Theum Server M – €1,000/month
- 501 to 5000 Users
Theum Server L – €2,000/month
- 5001 to 50,000 Users
Theum Server XL – €3,000/month
- 50,001 to 100,000 Users
Theum Server XXL – request pricing information
- 100,001+ Users
All packages have the following features:
- Unlimited Virtual Experts
- Unlimited Documents
- File System Connector
Integrations
Integrations
Theum has connectors for the following platforms and services:
- SharePoint
- Box
- Dropbox
- OneDrive
It also has connectors available for CMIS and websites or wikis. Apart from those, it has APIs for different purposes.
Since Theum’s virtual experts are open source HTML5 applications, you can extend them as you see fit.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Siemens, Bertelsmann, Hyland
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A platform that provides organizations with unlimited virtual experts.
Company Email
info@theum.com
Company's Address
Theum AG
Schoenbergstrasse 45
Ostfildern, BW 73760
Germany
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Pricing:
Starting from $9.99
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Drag-and-Drop Function
- Projects
- Notebooks
- Datasets
- Modules
- Trained Models
- Experiments
- Experiment Conversion
- Web Service Publishing
- Cortana Intelligence Suite
- Cortana Intelligence Gallery
- APIs
Pricing Info
Azure Machine Learning Studio offers the following enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Free – $0
- 100 Modules per Experiment
- 1 Hour per Experiment
- 10 GB Storage Space
- Single Node Execution/Performance
Standard – $9.99/seat/month
- $1 per Studio Experimentation Hour
- Unlimited Modules per Experiment
- Up to 7 Days per Experiment, 24 Hours per Module
- Unlimited – BYO Storage Space
- On-Premises SQL Data Processing
- Multiple Nodes Execution/Performance
- Production Web API
- SLA
Integrations
Azure Machine Learning Studio offers APIs for developers’ use. For more information, contact support or get in touch with the community.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Mendeley, Rockwell Automation, Stanford’s SLAC National Accelerator Laboratory
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A cloud-based interactive programming tool for predictive analytics from Microsoft. Azure Machine Learning Studio offers access to Cortana Intelligence Suite and gallery, AI algorithm library, and more. Its easy to use interface utilizes drag and drop actions. Despite being cloud-based, this machine learning solution provides offline access to its users.
Company Email
Contact No.
Company's Address
Microsoft Azure
1 Microsoft Way
Redmond, WA 98052
USA
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All the data, information and experiences that we shared in this table were collated from official vendor pages, advertising resources available online, real-life experience from real clients as well as our personal everyday use of each service by a professional reviewer. We pay a lot of attention to extensively examine each service, therefore we not only examine it ourselves, but we also match our findings with experiences of other users from the B2B community.
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