Logo of ModelOp

ModelOp

Website LinkedIn

Last updated on

Company health

Employee growth
6% increase in the last year
Web traffic
63% decrease in the last quarter
Financing
May 2024 - $16M

Ratings

G2
4.9/5
(5)
Glassdoor
3.0/5
(12)

ModelOp description

ModelOp is a platform designed for large businesses to manage and govern their AI models once they are in use. It acts like a central command center for all AI activities, ensuring that models used for business decisions are reliable, compliant with regulations, and meet internal risk standards. While data scientists use tools like ModelOp to build AI models, ModelOp focuses on the ongoing oversight and management of those models after deployment. This ensures that the AI models are constantly monitored for performance and compliance, providing a reliable foundation for AI-driven decisions across the company.


Who is ModelOp best for

ModelOp is a central command center for managing and governing deployed AI models, ensuring reliability, compliance, and risk management. Ideal for medium-sized businesses, ModelOp offers cloud deployment, LLM performance monitoring, and model inventory management. It helps track model performance, versions, and metadata for reliable AI-driven decisions.

  • Best fit for medium-sized companies.

  • Suitable for various industries leveraging AI.


ModelOp features

Supported

ModelOp Center supports deployment to public, private, and hybrid cloud environments.

Supported

ModelOp Center supports LLM usage tracking and monitoring.

Supported

ModelOp centrally tracks deployed AI models, versions, performance, and metadata.

Supported

ModelOp supports model evaluation metrics, including accuracy, precision, recall, and F1-score.


ModelOp pricing

See the ModelOp pricing page.


ModelOp alternatives

  • Logo of WhyLabs
    WhyLabs
    AI observability platform. Keeps your AI reliable and fair.
    Read more
  • Logo of Deeploy
    Deeploy
    Deploy, monitor, and explain your AI with ease and trust.
    Read more
  • Logo of SAS Model Manager
    SAS Model Manager
    Govern, deploy, and monitor analytics models centrally and efficiently.
    Read more
  • Logo of Labelbox
    Labelbox
    Train, automate, and improve your computer vision models.
    Read more
  • Logo of Composable
    Composable
    Build, deploy, and manage custom AI apps securely and easily.
    Read more
  • Logo of ClearML
    ClearML
    Effortless MLOps: Automate, track, and deploy AI models with ease.
    Read more

ModelOp FAQ

  • What is ModelOp and what does ModelOp do?

    ModelOp is an AI model governance and management platform for large enterprises. It monitors model performance, ensures regulatory compliance, and manages risk for deployed AI models. It acts as a central hub for all AI operations, guaranteeing reliable AI-driven decisions.

  • How does ModelOp integrate with other tools?

    ModelOp integrates with existing cloud platforms and AI/ML tools, enabling seamless management of deployed models. It supports public, private, and hybrid cloud environments and offers tools for monitoring LLM performance and other model evaluation metrics.

  • What the main competitors of ModelOp?

    Top alternatives to ModelOp include Deeploy, SAS Model Manager, Aporia, and Qlik AutoML. These platforms offer similar model management, monitoring, and deployment capabilities, catering to businesses with varying AI needs and technical expertise.

  • Is ModelOp legit?

    Yes, ModelOp is a legitimate platform for managing and governing AI models. It helps large businesses ensure their AI models are reliable, compliant, and meet internal risk standards. ModelOp focuses on post-deployment model management, offering features like AI model inventory management and LLM performance monitoring.

  • How much does ModelOp cost?

    I couldn't find pricing details for ModelOp. Contact ModelOp directly to discuss pricing and determine if the product is worth the investment for your needs.

  • Is ModelOp customer service good?

    Customer reviews suggest that ModelOp is helpful and easy to use, facilitating efficient customer interactions and resolutions. However, some users experienced occasional system instability, which was reportedly resolved quickly by customer service.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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