Enterprise Tech / BI & Operational Intelligence
Best AI Observability & Evaluation Companies
What is AI Observability & Evaluation?
The AI observability & evaluation market provides solutions that continuously monitor, test, and assess AI systems, offering real-time visibility into their behavior. AI performance can degrade when models encounter data different from training sets or operate in new contexts. These solutions identify issues by tracking prediction outliers, measuring accuracy, detecting bias, benchmarking performance, and identifying vulnerabilities. The market encompasses both ML models and AI systems like LLMs and agents, with specialized tools for each approach, including prompt engineering analysis, cost tracking, and hallucination detection. Organizations leverage these platforms to maintain trust and performance as deployments grow more complex.
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Top AI Observability & Evaluation Companies

United States / Founded Year: 2013
Databricks operates within the technology sector and provides data and artificial intelligence (AI) solutions. The company offers a platform that integrates data management, analytics, and AI for data-centric applications and services. Databricks serves industries such as communications, financial services, healthcare, manufacturing, media and entertainment, public sector, and retail. It was founded in 2013 and is based in San Francisco, California.
Known Partners
CipherSense AI, Thoughtworks, Analytics8, and 2 more
Known Customers
Pathnostics, New Look, Synapxe, and 2 more
Key People
Patrick Wendell, Ion Stoica, Arsalan Tavakoli-Shiraji, and 2 more

United States / Founded Year: 0000
IBM operates as a global technology company involved in artificial intelligence (AI), automation, and hybrid cloud solutions across various sectors. The company provides services that include AI-driven business solutions, enterprise automation tools, and management of hybrid cloud environments. IBM provides services in sectors such as cybersecurity, data governance, and quantum computing research. IBM was formerly known as Computing-Tabulating-Recording Company. It was founded in 1911 and is based in Armonk, New York.

Arize provides tools for AI observability and LLM evaluation within the machine learning and artificial intelligence sectors. The company offers a platform for monitoring, diagnosing, and improving the performance of AI models and applications in production. Arize's tools are based on open-source standards and can integrate with existing AI infrastructure. It was founded in 2020 and is based in Mill Valley, California.
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Acceldata specializes in enterprise data observability and provides tools for monitoring and optimizing data quality, pipelines, infrastructure, and user interactions. The solutions support various sectors, including financial services, manufacturing, retail, and life sciences, with a focus on AI-driven operations and multi-cloud environments. It was founded in 2018 and is based in Campbell, California.
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Key People
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United States / Founded Year: 0000
AgentOps focuses on creating reliable AI agents within the technology sector. Its main offerings include a suite of developer tools for AI agent development and an observability platform to monitor, test, and analyze AI agents. AgentOps primarily serves clients ranging from startups to large enterprises looking to implement scalable and reliable AI agents. It was founded in 2023 and is based in San Francisco, California.
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United States / Founded Year: 0000
CoreWeave specializes in graphics processing unit (GPU) cloud computing within the artificial intelligence sector. The company provides a cloud platform for AI workloads that includes GPU and CPU compute services, storage, and networking solutions for AI model training and inference. Its infrastructure focuses on scalability, reliability, and security, serving AI labs, platforms, and enterprises. CoreWeave was formerly known as Atlantic Crypto. It was founded in 2017 and is based in Livingston, New Jersey.

Credo AI offers a platform that automates artificial intelligence (AI) oversight, risk management, and regulatory compliance to facilitate responsible AI adoption. Credo AI's services include AI auditing to ensure system integrity and fairness, as well as educational workshops to empower teams in AI governance practices. It was founded in 2020 and is based in Palo Alto, California.

United States / Founded Year: 0000
Datadog offers a monitoring and security platform for cloud applications across various industries. It provides tools for observability, security, digital experience, software delivery, service management, and artificial intelligence integrations. It serves sectors such as financial services, healthcare, retail, government, and technology. It was founded in 2010 and is based in New York, New York.

United States / Founded Year: 0000
Dynatrace operates in the technology sector, providing a platform that integrates observability, business, and security data to offer analytics and automation for cloud environments. The company serves various sectors that aim to modernize and optimize their cloud operations. It was founded in 2005 and is based in Waltham, Massachusetts.

Fiddler focuses on artificial intelligence (AI) observability and responsible AI governance in the technology sector. The company provides services such as monitoring, explainable AI, and analytics to support the performance and integrity of machine learning models and large language models. Fiddler serves sectors that need AI governance and risk management, including government and financial services. It was founded in 2018 and is based in Palo Alto, California.
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Galileo focuses on machine learning and data science within the technology industry. The company offers a platform for the development and evaluation of applications that handle unstructured data, providing tools for prompt engineering, data fine-tuning, and real-time monitoring of outputs. Galileo's services are primarily utilized by data science teams across various sectors. It was founded in 2021 and is based in San Francisco, California.
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United States / Founded Year: 0000
LangChain specializes in the development of large language model (LLM) applications and provides a suite of products that support developers throughout the application lifecycle. It offers a framework for building context-aware, reasoning applications, tools for debugging, testing, and monitoring application performance, and solutions for deploying application programming interfaces (APIs) with ease. It was founded in 2022 and is based in San Francisco, California.

United States / Founded Year: 0000
New Relic develops cloud-based software. The company provides solutions to track and provide insights into the performance of websites and applications. It serves e-commerce, retail, healthcare, media, and other industries. The company was founded in 2008 and is based in San Francisco, California.

United States / Founded Year: 0000
Patronus AI focuses on automated AI evaluation and security within the AI development sector. The company provides a platform that allows enterprise teams to score the performance of large language models (LLMs), generate adversarial test cases, and benchmark AI systems. Patronus AI serves sectors that require AI evaluation and security measures, including the tech and enterprise AI industries. Patronus AI was formerly known as Zeno AI. It was founded in 2023 and is based in Dublin, California.

Wallaroo.AI provides services related to AI deployment and inference within the technology sector. The company offers a platform for machine learning operations, which includes deployment, observability, and optimization of AI models across various environments and hardware. Wallaroo.AI serves sectors such as retail, marketing technology, financial technology, oil and gas, healthcare, manufacturing, and aerospace and defense. Wallaroo.AI was formerly known as Sendence Solutions. It was founded in 2017 and is based in Brooklyn, New York.
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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 AI Observability & Evaluation?
The AI observability & evaluation market provides solutions that continuously monitor, test, and assess AI systems, offering real-time visibility into their behavior. AI performance can degrade when models encounter data different from training sets or operate in new contexts. These solutions identify issues by tracking prediction outliers, measuring accuracy, detecting bias, benchmarking performance, and identifying vulnerabilities. The market encompasses both ML models and AI systems like LLMs and agents, with specialized tools for each approach, including prompt engineering analysis, cost tracking, and hallucination detection. Organizations leverage these platforms to maintain trust and performance as deployments grow more complex.
Expert Collections
Market Map
Similar Markets
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