Google Vertex AI
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Data Collection
- Data Labeling
- Data Visualization
- Model Monitoring
- Image Classification & Object Detection
- Text Classification & Text Extraction
Pricing Info
Pricing Info
Skyl offers three SMB and enterprise pricing packages for users to choose from. The plans are billed on a monthly and annual basis. Give the details a look, and choose the plan that best suits your requirements.
Starter Plan – $199/month ($175/month if billed annually)
- 1 User Access
- 1 Collaborator
- 1 Project
- 1000 Records
- 3 Model Training per Month (Maximum of 1 hour)
- Up to 1000 Free Prediction Per Month
- 1 Model Deployment Per Project
- Model Evaluation
- Image Classification (CV)
- Text Extraction (NLP)
- Text Classification (NLP)
- Object Detection (CV)
- Inference API
- Skyl.ai Labelwise – Data Labeling
- Up to 100 Free Labeling Units
- 9 – 5 EST Online Support
Growth Plan – $499/month ($399/month if billed annually)
- 3 User Access
- 10 Collaborator
- 3 Project
- 10000 Records
- 5 Model Training per Month (Maximum of 3 hours)
- Up to 5000 Free Prediction Per Month
- Batch Prediction
- 3 Model Deployment Per Project
- Everything in the Starter Plan
- Inference API & Collect API
- Up to 1000 Free Labeling Units
- 24/7 Support
Enterprise Plan – Contact vendor
- Everything in the Growth Plan (On-Demand)
- Model Export
- Model Edge Deployment
- Customize Data Labeling Workflow Support
- On-Prem Data Labeling Support
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
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
Skyl AI enables businesses to build and deploy Machine Learning models on unstructured data quickly with ease.
Company Email
contact@skyl.ai
Contact No.
Company's Address
Skyl Technologies Inc.
85 Broad Street New York, NY, 10004
USA
Skyl Comparisons
Popular Skyl Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- AutoML Capabilities
- Custom Model Development
- Pre-built Models
- Model Deployment and Monitoring
- Model Versioning and Management
- Real-time Predictions
- Custom Training Containers
- Multi-Cloud Deployment
- AI Explanations
- Data Labeling Services Integration
- Jupyter Notebooks
- AI for Multiple Data Types
- Model Hyperparameter Tuning
- Custom Training Jobs
Pricing Info
Pricing plans for Google Vertex AI are available by quote.
Integrations
Google Vertex AI is designed to seamlessly integrate with various Google Cloud services and other tools to provide a comprehensive and versatile platform for AI development.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
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 powerful and comprehensive machine learning and artificial intelligence (AI) platform developed by Google.
Company Email
Company's Address
Google Vertex AI Comparisons
Popular Google Vertex AI Alternatives
No AI Software will be able to solve all the needs of a company. Even though main functionalities of Skyl and Google Vertex AI are important you should also thoroughly examine the integrations provided by a given solution. Very often your team will already be working with other types of SaaS software in your company and it’s always more beneficial to go with apps that integrate well with one another. If you do that you can guarantee an effortless exchange of information between your teams and software used, which can significantly reduce time wasted on migrating between one app and the next.
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