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Arize AI funding, valuation and investors
AI observability, LLM evaluations and Phoenix tracing for production models and agents.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series C
$70M led by Adams Street Partners · February 20, 2025
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$70M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
acquired
acquired · Berkeley, CA
Overview
Arize AI develops the Phoenix and AX tools for machine learning, LLM and AI agent observability, evaluations and tracing. Founded in 2020 by Jason Lopatecki and Aparna Dhinakaran, it announced a $70M February 2025 Series C led by Adams Street Partners, after earlier seed, Series A and Series B funding. Dynatrace announced a $915M Arize acquisition agreement August 13, 2026 and completed it October 1, 2026.
Its November 2026 filing disclosed $815.9M cash paid at close plus employee restricted stock/RSUs valued at $98.2M. Dynatrace says Phoenix will stay open source while AX and platform integrations develop. This is a **completed** transaction, unlike CrowdStrike's pending Fiddler deal.
Why Arize AI is interesting
Arize is one of Fiddler's closest independent rivals in AI observability and evaluation, blending commercial monitoring with the developer-facing Phoenix instrumentation ecosystem.
Product & use cases
AI model monitoring, generative AI evals, tracing, experiment comparison and Phoenix observability tooling.
- Evaluate agent outcomes, hallucination and task completion
- Observe LLM calls and agent spans with structured traces
- Monitor model performance across releases
Key facts
- Dynatrace completed acquisition of Arize October 1, 2026; announced valuation $915M.
- February 20, 2025: $70M Series C led by Adams Street Partners.
- Phoenix open-source evaluations and tracing, alongside enterprise Arize AX.
Funding history (newest first)
Series C
2025-02-20 $70M led by Adams Street PartnersSource: Read source · arize.com
Investors in our directory
Funds linked from Arize AI's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Bridges established model observability with a large developer-oriented Phoenix ecosystem; compare storage and evaluation costs on actual traces.
The closest alternatives differ by whether they investigate existing telemetry, orchestrate incidents, evaluate AI agent behavior, or prevent adversarial exploitation. Selection should be based on representative task-level tests, deployment permissions, data control and total ownership cost.
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Fiddler AI direct
Enterprise AI observability and governance
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Langfuse direct
LLM and agent traces
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LangSmith direct
LLM evaluation and tracing
Industries
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Arize AI
Practical answers founders, operators, and investors typically search for.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.