ioModelTwin Tech Labs
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Related Products
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About
Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.
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About
ioModel is designed to provide existing analytics teams access to powerful machine learning models without having to write code, significantly reducing development and maintenance costs. Furthermore, analysts can then validate and understand the efficacy of models developed on the platform using well understood and proven statistical validation techniques. The ioModel Research Platform will do for machine learning what the spreadsheet did for general computing. The ioModel Research Platform is developed entirely using open source technology and is itself available (without support or warranty) under the GPL License on GitHub. We invite our community to collaborate with us on the roadmap, development, and governance of the Platform. We’re committed to working openly and transparently to drive forward analytics, modeling, and innovation..
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprises and professionals looking for an artificial intelligence solution to increase model velocity and improve AI outcomes
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Audience
Machine Learning solution for companies
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$50/month
Free to use - OSS version
$50/month - Enterprise version
Free Version
Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationArize AI
United States
arize.com
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Company InformationTwin Tech Labs
Founded: 2017
United States
twintechlabs.io
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Alternatives |
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Categories |
Categories |
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Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Supported
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Integrations
Amazon Bedrock
Supported
Arize Phoenix
Supported
Azure Marketplace
Supported
Claude
Supported
Flowise
Supported
Gemini Enterprise Agent Platform
Supported
Hugging Face
Supported
LangChain
Supported
LangGraph
Supported
LiteLLM
Supported
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Integrations
Amazon Bedrock
Not Supported
Arize Phoenix
Not Supported
Azure Marketplace
Not Supported
Claude
Not Supported
Flowise
Not Supported
Gemini Enterprise Agent Platform
Not Supported
Hugging Face
Not Supported
LangChain
Not Supported
LangGraph
Not Supported
LiteLLM
Not Supported
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