Apache PredictionIO
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Supports Text, Image, and Tabular Data Types
- Offers Guidelines For Selecting Training Data
- Context Length Limit For Text and Tabular Models
- Image Classification, Tagging, and Search
- Text Classification, Tagging, and Search
- Tabular Classification, Tagging, and API
- OCR (Optical Character Recognition)
- Near Duplicate Removal
- Model Training and Accuracy Assessment
- Object and Box Detection
- Collaboration With Nyckel Users
- Suggested Actions For Selected Error Codes
- Authentication Through Access Tokens
- Controlled Number Of Requests Per Second
- Various Endpoint Functionalities For Data Manipulation and Analysis
Pricing Info
Pricing Info
Nyckel offers a free plan with 1,000 classifications a month. From there, the plans go up based on the number of classifications and features you need, along with an enterprise pricing option. Here’s an overview:
Development – Free forever
- 1,000 monthly invokes
- 10 functions
- 5,000 samples per function
- 20 labels per function
Production – $50/month
- 10,000 monthly invokes
- 1,000 functions
- 10,000 samples per function
- 50 labels per function
- $0.005 per additional invoke
Growth – $500/month
- 500,000 monthly invokes
- 10,000 functions
- 25,000 samples per function
- 200 labels per function
- $0.001 per additional invoke
Enterprise– by quote
- Billions of monthly invokes
- Unlimited functions
- Millions of samples
- Thousands of labels
- Enterprise features – SSO, VPC deployment, model export, DPAs, and more
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Gardyn, Gust, and Square
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
Use it to automate tagging and searching of images and texts. Train artificial intelligence with your data in minutes.
Company Email
Contact No.
Company's Address
Nyckel, Inc
3812 Shasta Street, San Diego, CA 92109
USA
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Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Customizable Templates
- Real-Time Queries Response
- Engine Variants Evaluation & Tuning
- Data Unification
- Machine Learning Modeling & Incorporation
- Machine Learning & Data Processing Libraries
- Data Infrastructure Management
Integrations
Apache PredictionIO can integrate with custom applications.
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
An open source machine learning server designed by The Apache Software Foundation. Apache PredictionIO provides users access to Spark MLLib, OpenNLP, and machine learning libraries. It is also a flexible machine learning platform that supports both web and mobile integrations and deployment with Apache Spark, MLlib, HBase, Spray, and Elasticsearch.
Company Email
Company's Address
Apache PredictionIO
401 Edgewater Place, Suite 600
Wakefield, MA 01880
USA
Apache PredictionIO Comparisons
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No AI Software will be perfect enough to solve all the requirements of a specific team. Though main features of Nyckel and Apache PredictionIO should matter you should also thoroughly study the integrations provided by each solution. Quote frequently you will already be using other types of B2B software in your company and it’s definitely wiser to choose apps that integrate well with each other. If you do that you will be able to be certain of a reliable transfer of information between your teams and apps, which can really reduce time spent on migrating between one app and the other.
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