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Best MLOps Platforms - Page 12

Blue Bowen
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Researched and written by Blue Bowen

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
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Best MLOps Platforms At A Glance

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    Mutatio
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    N/A
    LinkedIn® Page
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    1 employees on LinkedIn®
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Mutatio features and usability ratings that predict user satisfaction
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Mutatio
HQ Location
N/A
LinkedIn® Page
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1 employees on LinkedIn®
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    LinkedIn® Page
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Neuralvault features and usability ratings that predict user satisfaction
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N/A
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1 employees on LinkedIn®

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    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
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NVIDIA Run:ai features and usability ratings that predict user satisfaction
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Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Entry Level Price:Contact Us
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    Ocular AI is the Multimodal AI Data Lakehouse. With Ocular, AI teams can seamlessly ingest, catalog/curate, search, annotate, and train on video, image, and audio data — all on one AI-native platfo

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    Seller
    Ocular AI
    Year Founded
    2024
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ocular AI is the Multimodal AI Data Lakehouse. With Ocular, AI teams can seamlessly ingest, catalog/curate, search, annotate, and train on video, image, and audio data — all on one AI-native platfo

We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
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Ocular AI features and usability ratings that predict user satisfaction
0.0
No information available
0.0
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0.0
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0.0
No information available
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Seller
Ocular AI
Year Founded
2024
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
6 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
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    23 employees on LinkedIn®
Product Description
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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 features and usability ratings that predict user satisfaction
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Openlayer
Year Founded
2021
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
23 employees on LinkedIn®
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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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    No information available
    Market Segment
    • 100% Enterprise
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    VROC
    Year Founded
    2016
    HQ Location
    East Perth, AU
    Twitter
    @vrocai
    65 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12 employees on LinkedIn®
Product Description
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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

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
OPUS features and usability ratings that predict user satisfaction
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0.0
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Seller
VROC
Year Founded
2016
HQ Location
East Perth, AU
Twitter
@vrocai
65 Twitter followers
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
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    Year Founded
    2024
    HQ Location
    Istanbul, TR
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
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Year Founded
2024
HQ Location
Istanbul, TR
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
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    An enterprise-grade platform for agile, reproducible, and scalable machine learning.

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    Polyaxon
    HQ Location
    Berlin, DE
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
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An enterprise-grade platform for agile, reproducible, and scalable machine learning.

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Polyaxon
HQ Location
Berlin, DE
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
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    Postploy
    HQ Location
    WY, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
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Postploy
HQ Location
WY, US
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
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    Prezelfy
    Year Founded
    2012
    HQ Location
    Miami, US
    LinkedIn® Page
    linkedin.com
    9 employees on LinkedIn®
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Prezelfy
Year Founded
2012
HQ Location
Miami, US
LinkedIn® Page
linkedin.com
9 employees on LinkedIn®
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    N/A
    LinkedIn® Page
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    1 employees on LinkedIn®
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1 employees on LinkedIn®
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    Quantyfy
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    N/A
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Quantyfy
HQ Location
N/A
LinkedIn® Page
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1 employees on LinkedIn®
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    DataOps Platform for Streaming Data Integration & Real-Time Advanced Analytics

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    HQ Location
    Milan, IT
    Twitter
    @weareradicalbit
    268 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
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DataOps Platform for Streaming Data Integration & Real-Time Advanced Analytics

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Radicalbit features and usability ratings that predict user satisfaction
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0.0
No information available
0.0
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0.0
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HQ Location
Milan, IT
Twitter
@weareradicalbit
268 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
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    HQ Location
    San Francisco, US
    LinkedIn® Page
    linkedin.com
    8 employees on LinkedIn®
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HQ Location
San Francisco, US
LinkedIn® Page
linkedin.com
8 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, US
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
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This description is provided by the seller.

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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Rasgo features and usability ratings that predict user satisfaction
0.0
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0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2020
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®