Arize AI, an AI observability and LLM evaluation platform, has secured a record-breaking $70 million Series C funding round to enhance AI reliability, advance LLM evaluation, improve synthetic data assessments, and refine voice assistants—empowering AI engineers with cutting-edge monitoring and troubleshooting solutions.

This milestone investment, the largest-ever in AI observability, underscores the growing demand for robust AI testing, evaluation, and performance monitoring. Adams Street Partners led the funding round, with support from M12 (Microsoft’s venture fund), Sinewave Ventures, OMERS Ventures, Datadog, PagerDuty, Industry Ventures, and Archerman Capital.

Existing investors Foundation Capital, Battery Ventures, TCV, and Swift Ventures reaffirmed their confidence in Arize AI’s vision.

“Building AI is easy. Making it work in the real world is the hard part. Enterprises can’t afford to deploy unreliable AI. Engineering teams need better infrastructure to test, evaluate, and troubleshoot their models before they impact customers. That’s exactly what Arize delivers—whether through our enterprise platform, Arize AX, or our open-source offering, Arize Phoenix,” said Jason Lopatecki, CEO and Co-Founder of Arize AI.

Strengthening AI Observability for Real-World Use Cases

AI adoption continues to surge, with enterprises projected to invest between $50 million and $250 million in generative AI by 2025. Despite this rapid growth, AI models—especially large language models (LLMs)—often fail to perform reliably in real-world applications like voice assistants. Many advanced AI models rely on synthetic data for training, but unreliable evaluation methods create significant risks.

“We believe AI observability is the missing piece in making AI truly enterprise-ready,” said Fred Wang, Partner at Adams Street Partners.

“As AI adoption accelerates, companies need robust, cohesive tools to ensure their AI systems are performant, reliable, and aligned with business goals. Through our research and diligence in this market, we believe Arize AI has built the category-defining platform for AI observability and evaluation, trusted by leading enterprises and AI-first organizations,” added Wang.

Arize AI’s OpenEvals research reveals that LLMs struggle to accurately assess synthetic datasets, leading to compounded errors that undermine AI performance. This challenge highlights the need for comprehensive observability tools that allow engineering teams to detect and troubleshoot failures before they escalate.

“As AI research and real-world applications accelerate, Arize will continue to pioneer new tools, like our recent first-to-market launch of audio evaluation for voice assistants, to help engineers working on these systems better evaluate, debug, and improve what they build,” added Aparna Dhinakaran, Chief Product Officer and Co-Founder of Arize.

How Arize AI is Addressing AI Reliability Challenges?

Arize AI provides a unified observability and evaluation platform that enables teams to:

Monitor AI models and detect performance issues in real time.
Troubleshoot failures quickly to improve model accuracy.
Enhance reliability across traditional machine learning (ML) and generative AI applications.

Since its launch in 2020, Arize AI has become a critical observability and evaluation partner for top enterprises and government agencies. Its open-source tool, Arize Phoenix, now boasts over two million monthly downloads, making it the most widely adopted AI evaluation library for development.

“Arize AI deserves a lot of credit for pioneering AI observability and creating a de facto standard for enterprises that want to achieve real-world results with generative AI,” said Brett Wilson, General Partner at Swift Ventures. “We’re proud to continue to back the company as it scales.”

Expanding Partnerships and Integrations with Microsoft

Arize AI’s collaboration with Microsoft deepens through new integrations with Azure AI Studio and the Azure AI Foundry portal, SDK, and CLI. These advancements make it easier for AI engineers to incorporate observability and evaluation into their workflows, ensuring AI systems remain accurate and reliable.

With this record-breaking investment, Arize AI is poised to redefine AI observability, empowering companies to deploy trustworthy, high-performing AI solutions in an increasingly automated world.

“Arize AI’s innovative approach to AI observability and LLM evaluation transforms how enterprises deploy and manage AI systems. Our investment reflects our confidence in their ability to set new standards in the industry and empower AI engineers and developers to achieve real-world results,” said Todd Graham, Managing Partner at M12.

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