Enterprise Tech / BI & Operational Intelligence
Best Model Validation & Monitoring Companies
What is Model Validation & Monitoring?
The model validation & monitoring market provides solutions that continuously monitor the performance of AI models and provide real-time visibility into model behavior. AI model performance can degrade over time if it continuously encounters real-world data that varies significantly from its training data. These solutions can help to identify performance changes by tracking outliers in predictions, potentially biased outcomes, and suspected adversarial attacks.
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Top Model Validation & Monitoring Companies

Seldon specializes in machine learning operations (MLOps) solutions and focuses on the deployment and management of machine learning models for enterprise companies. The company offers a software framework that enables businesses to deploy, monitor, and manage machine learning models. Seldon's products cater to a variety of industries that require robust machine learning operations, including financial services, automotive, and insurance sectors. It was founded in 2014 and is based in Shoreditch, United Kingdom.
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Databricks is a data and AI company that specializes in unifying data, analytics, and artificial intelligence across various industries. The company offers a platform that facilitates data management, governance, real-time analytics, and the building and deployment of machine learning and AI applications. Databricks serves sectors such as financial services, healthcare, the public sector, retail, and manufacturing, among others. It was founded in 2013 and is based in San Francisco, California.
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Fiddler specializes in AI Observability and operates within the artificial intelligence and machine learning sectors. The company offers a platform that enables monitoring, explaining, analyzing, and improving machine learning models and large language models, aiming to build trust in AI systems. Fiddler's solutions are primarily utilized by sectors such as finance, government, and various industries relying on AI and ML for operational efficiency. It was founded in 2018 and is based in Palo Alto, California.
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IBM operates as a multinational information technology company. It manufactures and sells computer hardware and software products. It also offers a range of solutions such as cloud cost management, business automation, data management, data warehouse, and more. It serves industries such as automotive, insurance, retail, and more. It was formerly known as Computing-Tabulating-Recording Company. The company was founded in 1911 and is based in Armonk, New York.

Arize specializes in artificial intelligence observability and large language model (LLM) evaluation within the machine learning infrastructure domain. The company offers a platform for monitoring, troubleshooting, and evaluating machine learning models, including natural language processing (NLP), computer vision, and recommender systems, without requiring technical expertise. Its platform is primarily utilized by industries such as financial services, electronic commerce, media and entertainment, autonomous vehicles, manufacturing, and biotechnology and pharmaceutical research. The company was founded in 2020 and is based in Lafayette, California.

Robust Intelligence specializes in securing AI transformations within various business sectors by offering automated solutions to protect against security and safety threats. The company provides a platform that includes vulnerability detection and assessment for AI models, as well as the implementation of guardrails to mitigate threats to AI applications in production. Robust Intelligence was formerly known as Safe ML Incorporated. It was founded in 2019 and is based in San Francisco, California. In August 2024, Robust Intelligence was acquired by Cisco.
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Aporia operates as a company focusing on machine learning (ML) observability within the technology sector. The company offers a platform that allows users to monitor and visualize the performance of their ML models, ensuring they are always operating at their best. Its service is primarily used by data science and ML teams across various sectors of the economy. It was founded in 2019 and is based in San Jose, California.
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Arthur focuses on AI performance monitoring and management within the machine learning operations (MLOps) sector. The company offers solutions for deploying, monitoring, and optimizing machine learning models, ensuring scalability, security, and compliance for enterprise use. Arthur's products include tools for evaluating large language models (LLMs), providing a firewall for LLMs, and enhancing AI model observability. It was founded in 2018 and is based in New York, New York.
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Etiq AI specializes in machine learning testing and monitoring within the technology domain. The company offers tools to validate and monitor data pipelines and machine learning models, addressing issues such as performance, drift, data quality, leakage, and bias. Its solutions aim to reduce failures, shorten debugging time, and minimize the need for manual test writing and monitor setup. Primarily it serves the technology industry. The company was founded in 2019 and is based in London, United Kingdom.
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LatticeFlow is a company that focuses on the development and deployment of robust and trustworthy artificial intelligence (AI), operating within the AI industry. The company offers services that help in diagnosing and fixing data and model issues, enabling teams to build, deploy, and operate AI models at scale. LatticeFlow primarily serves sectors such as defense, manufacturing, insurance, and healthcare. It was founded in 2020 and is based in Zurich, Switzerland.
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NannyML is a company focused on post-deployment model performance estimation and data drift detection in the data science and machine learning industry. The company offers products that allow users to monitor machine learning models, estimate their performance, detect changes in data, and link these changes to performance issues. The primary customers of NannyML are data scientists and professionals in the machine learning sector. It was founded in 2020 and is based in Leuven, Belgium.
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TrojAI specializes in AI/ML/LLM risk management and security within the technology sector. The company offers solutions for assessing, measuring, and tracking risks and vulnerabilities in AI/ML/LLM models to their performance and manage risk exposure. TrojAI's services cater to various enterprise stakeholders, including cybersecurity teams, data scientists, and executives, to ensure responsible AI deployments. It was founded in 2019 and is based in Saint John, Canada.
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Vianai Systems focuses on artificial intelligence (AI) in the software industry. The company offers AI-based solutions that enable businesses to uncover insights in their enterprise systems using natural language, and to build machine learning applications. Vianai Systems primarily serves the software industry. It was founded in 2019 and is based in Palo Alto, California.
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Wallaroo.AI provides a platform for automating the deployment, serving, observability, and optimization of AI models from cloud to edge. It solutions enable scaling, management, and monitoring of AI models, ensuring performance and reduced operational. Wallaroo.AI was formerly known as Sendence Solutions. It was founded in 2017 and is based in Brooklyn, New York.
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WhyLabs operates as a company focusing on artificial intelligence (AI) observability, operating in the technology and data analytics sectors. The company offers a platform that monitors the quality and performance of machine learning models and data pipelines, enabling users to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. WhyLabs primarily serves sectors such as financial services, logistics and manufacturing, retail and e-commerce, and healthcare. It was founded in 2019 and is based in Seattle, Washington.
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Our Methodology
The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Model Validation & Monitoring?
The model validation & monitoring market provides solutions that continuously monitor the performance of AI models and provide real-time visibility into model behavior. AI model performance can degrade over time if it continuously encounters real-world data that varies significantly from its training data. These solutions can help to identify performance changes by tracking outliers in predictions, potentially biased outcomes, and suspected adversarial attacks.
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