Best MLOps Platforms - Page 10

Matthew Miller
MM
Researched and written by Matthew Miller

Machine learning operationalization (MLOps) platforms allow users to manage and monitor machine learning models as they are integrated into business applications. In addition, many of these tools facilitate the deployment of these models. With these tools, businesses can implement machine learning models and algorithms built by data scientists and developers. MLOps software automates deployment, monitors models' health, performance, and accuracy, and iterates on those models. Some tools provide features for doing this collaboratively. This enables businesses to scale machine learning across the company and make a tangible business impact.

Additionally, these products may provide security, provisioning, and governing capabilities to ensure that only those authorized to make version changes or deployment adjustments can do so. The tools can differ regarding what part of the machine learning journey or workflow they focus on, including explainability, hyper optimization, feature engineering, model risk, model selection, model monitoring, and experiment tracking.

These tools are usually language agnostic, so they can be successfully deployed no matter how an algorithm is built. However, some may focus specifically on languages like R or Python, among others. Some of these products are dedicated to tracking machine learning experiments to better understand the performance of models. In addition, some products provide the ability to augment users’ training datasets in order to improve model training.

Some MLOps solutions offer a way to manage all machine learning models across the entire business in a single location. Although similar to data science and machine learning platforms, this software differs since it focuses on the maintenance and monitoring of models instead of deployment.

To qualify for inclusion in the MLOps Platforms category, a product must:

Offer a platform to monitor and manage machine learning models
Allow users to integrate models into business applications across a company
Track the health and performance of deployed machine learning models
Provide a holistic management tool to better understand all models deployed across a business

Best MLOps Platforms At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
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Best for Enterprise:
Highest User Satisfaction:

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    Quality Platform for Trustworthy AI A reliable AI system has quality built in: from data, to engineering, to testing, to deployment. Kolena ensures that your system is resilient to known pitfalls, and

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    Kolena
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Quality Platform for Trustworthy AI A reliable AI system has quality built in: from data, to engineering, to testing, to deployment. Kolena ensures that your system is resilient to known pitfalls, and

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    Latona Empowers IoX from a piece of AI.

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Latona Empowers IoX from a piece of AI.

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    LayerNext is the AI-powered Business Insight Generation platform. With LayerNext's proactive insights, decision-makers can move quickly and make confident, data-driven decisions. LayerNext seamlessly

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    2
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LayerNext is the AI-powered Business Insight Generation platform. With LayerNext's proactive insights, decision-makers can move quickly and make confident, data-driven decisions. LayerNext seamlessly

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LayerNext Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Management
3
Ease of Use
3
Efficiency Improvement
3
User Interface
3
Analytics
2
Cons
Lacking Features
3
Missing Features
3
Annotation Issues
2
Inadequate Search Functionality
1
Lack of Features
1
LayerNext features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.8
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Year Founded
2021
HQ Location
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LinkedIn® Page
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    Llm.report is a free OpenAI API analytics dashboard, offering clear insights into your AI usage.

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    The World’s Most Advanced AI Security Platform Protect your organization from any AI threat with the security platform of choice for enterprises around the world.

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    Lakera
    Year Founded
    2021
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The World’s Most Advanced AI Security Platform Protect your organization from any AI threat with the security platform of choice for enterprises around the world.

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Lakera
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    Modzy accelerates the deployment, integration, and governance of production-ready AI. With integrations for the leading data science and DevOps tools, teams count on Modzy to quickly and easily build

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Modzy accelerates the deployment, integration, and governance of production-ready AI. With integrations for the leading data science and DevOps tools, teams count on Modzy to quickly and easily build

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    Model governance software for AI, statistical models, and everything in between. Your business needs a consistent approach to model governance for informed decisions, risk management, and performance

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    Monitaur
    Year Founded
    2019
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    Boston
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Model governance software for AI, statistical models, and everything in between. Your business needs a consistent approach to model governance for informed decisions, risk management, and performance

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Monitaur
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2019
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    Mystic AI is an inference platform that manages AI models in production. Bring your generative AI product faster to market with Mystic's platform built from the ground to optimise running costs and GP

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    Mystic AI
    Year Founded
    2019
    HQ Location
    London, GB
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    16 employees on LinkedIn®
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Mystic AI is an inference platform that manages AI models in production. Bring your generative AI product faster to market with Mystic's platform built from the ground to optimise running costs and GP

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Mystic AI
Year Founded
2019
HQ Location
London, GB
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16 employees on LinkedIn®
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    Get alerts every time your AI fails Track prompts and models. Test edge cases. Catch errors in production. Evaluate your AI with one-line of code.

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    Openlayer
    Year Founded
    2021
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Get alerts every time your AI fails Track prompts and models. Test edge cases. Catch errors in production. Evaluate your AI with one-line of code.

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Openlayer
Year Founded
2021
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7 employees on LinkedIn®
By VROC
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    OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. OPUS's real-time insights all

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    Pros
    Ease of Use
    2
    Access
    1
    Accessibility
    1
    Data Access
    1
    Data Accessibility
    1
    Cons
    Complexity
    1
    Limited Customization
    1
    Not User-Friendly
    1
    Outdated User Interface
    1
    Performance Issues
    1
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    VROC
    Year Founded
    2016
    HQ Location
    Perth, Western Australia
    Twitter
    @vrocai
    59 Twitter followers
    LinkedIn® Page
    www.linkedin.com
Product Description
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This description is provided by the seller.

OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. OPUS's real-time insights all

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
OPUS Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Access
1
Accessibility
1
Data Access
1
Data Accessibility
1
Cons
Complexity
1
Limited Customization
1
Not User-Friendly
1
Outdated User Interface
1
Performance Issues
1
OPUS features and usability ratings that predict user satisfaction
0.0
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0.0
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VROC
Year Founded
2016
HQ Location
Perth, Western Australia
Twitter
@vrocai
59 Twitter followers
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    An enterprise-grade platform for agile, reproducible, and scalable machine learning.

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    Polyaxon
    HQ Location
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An enterprise-grade platform for agile, reproducible, and scalable machine learning.

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Polyaxon
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    QuantistryLab is an AI-powered material design and discovery platform that integrates atomistic multiscale simulations and AI to streamline research and development (R&D). It allows users to predi

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QuantistryLab is an AI-powered material design and discovery platform that integrates atomistic multiscale simulations and AI to streamline research and development (R&D). It allows users to predi

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    DataOps Platform for Streaming Data Integration & Real-Time Advanced Analytics

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    291 Twitter followers
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DataOps Platform for Streaming Data Integration & Real-Time Advanced Analytics

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    The Metric Command Center - empowering data consumers to discover, explore, and create standard business metrics. Customers of Rasgo achieve the following benefits- 1) Complete standardization of bus

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    Year Founded
    2020
    HQ Location
    New York, NY
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
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The Metric Command Center - empowering data consumers to discover, explore, and create standard business metrics. Customers of Rasgo achieve the following benefits- 1) Complete standardization of bus

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Year Founded
2020
HQ Location
New York, NY
LinkedIn® Page
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18 employees on LinkedIn®
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    Replicate runs and fine-tune open-source models. Deploy custom models at scale. All with one line of code.

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    Replicate
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Replicate runs and fine-tune open-source models. Deploy custom models at scale. All with one line of code.

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Replicate