What is Arize AI?
Arize AI provides observability, evaluation, and tracing for machine-learning and LLM applications.
- Category
- AI observability platform
- Headquarters
- Berkeley, CA
- Founded
- 2020
- Employees
- Not publicly disclosed
- Total funding
- Reported $130M+
- Valuation
- Not publicly disclosed
What is Arize AI?
Arize AI is a ai observability platform headquartered in Berkeley, CA. Arize AI provides observability, evaluation, and tracing for machine-learning and LLM applications.
Arize AI operates in ai observability platform and is best understood by its product surface: Arize AX, Phoenix, LLM tracing, Evals, ML observability. Customers include AI application teams, ML platform teams, and enterprises operating production models. Revenue is not disclosed; demand comes from production ML and LLM application monitoring.
The company was founded in 2020, is headquartered in Berkeley, CA, and has not publicly disclosed employees according to public reporting or company-visible signals. Its market position is shaped by the acceleration of AI infrastructure and application spend, but most private-company financials remain reported estimates rather than audited disclosures.
For buyers and sellers, Arize AI is a useful account because the company sits close to production AI budgets. The relevant buying centers are usually engineering, research, infrastructure, product, security, and enterprise operations rather than a single generic AI owner.
What does Arize AI offer?
Arize AI's public product surface includes Arize AX, Phoenix, LLM tracing, Evals and related enterprise capabilities.
- Arize AX· Product / capability
- Phoenix· Product / capability
- LLM tracing· Product / capability
- Evals· Product / capability
- ML observability· Product / capability
- Prompt / dataset monitoring· Product / capability
How does Arize AI make money?
Arize AI monetizes through a mix of self-service usage, subscriptions, infrastructure capacity, licensing, and enterprise contracts depending on the product line.
Arize sells open-source Phoenix plus hosted/team/enterprise observability and evaluation products; enterprise contracts are custom priced.
Growth is driven by production AI usage: more prompts, model calls, GPU hours, private deployments, seats, storage, or managed workflows depending on the product. Where exact pricing is not published, the profile treats enterprise terms as contract-priced rather than inventing seat prices.
The buyer motion is therefore both developer-led and enterprise-led. Individual builders may start with a free tier, open-source project, or usage-based API, while larger accounts typically involve procurement, security review, data-governance review, and committed capacity or platform agreements.
Who leads Arize AI?
Arize AI's publicly visible leadership includes Jason Lopatecki, Aparna Dhinakaran.
- Jason LopateckiCo-founder & CEOPublic role as of June 2026Former TubeMogul co-founder and ML infrastructure operator.
- Aparna DhinakaranCo-founder & Chief Product OfficerPublic role as of June 2026Former Uber Michelangelo engineer and ML observability leader.
How do you contact Arize AI's leadership?
No verified public executive email pattern was confirmed for Arize AI; use the company's official contact, sales, support, or press paths rather than guessed personal emails.
No verified public executive email format; use official contact channels.How much funding has Arize AI raised?
Arize AI has reported $130m+, with valuation/status currently described as Not publicly disclosed.
Arize AI's disclosed funding history is: 2020: Seed — Early funding after company launch. 2021: Series A — $19M led by Battery Ventures. 2022: Series B — $38M led by TCV. 2025: Series C — Reported $70M round to expand AI observability/evaluation.
Because several AI companies use strategic partnerships, cloud credits, debt, project finance, or reported-but-not-yet-filed private rounds, this profile separates disclosed funding from directional reports. The valuation field is reported as Not publicly disclosed; it should be rechecked before financial decisions.
The seller signal is budget maturity. Companies with late-stage or infrastructure-scale financing usually have formal procurement and security processes, while earlier labs and open-source companies may centralize decisions with founders and technical platform leaders.
How did Arize AI get here?
Arize AI's timeline runs from its 2020 founding to its current ai observability platform position.
- 2020FoundedArize starts as an ML observability company.
- 2021Series AThe company raises for monitoring product growth.
- 2022Series BArize raises $38M led by TCV.
- 2023LLM observabilityThe company expands into generative AI monitoring.
- 2024Phoenix adoptionOpen-source Phoenix grows as an eval/tracing tool.
- 2025Series C reportArize raises new capital for AI observability.
Who are Arize AI's competitors?
Arize AI competes with Weights & Biases, LangSmith, Datadog, WhyLabs, Humanloop depending on the buyer's use case.
- Weights & BiasesWeights & Biases overlaps with Arize AI for buyers evaluating ai observability platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
- LangSmithLangSmith overlaps with Arize AI for buyers evaluating ai observability platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
- DatadogDatadog overlaps with Arize AI for buyers evaluating ai observability platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
- WhyLabsWhyLabs overlaps with Arize AI for buyers evaluating ai observability platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
- HumanloopHumanloop overlaps with Arize AI for buyers evaluating ai observability platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
Arize AI — frequently asked questions
