Arize AI
Research Team Data
Published
AI engineering platform for reliable AI agents and LLM applications
Company profile
Overview
AI observability and evaluation platform for monitoring, tracing, evaluating, and improving LLM applications, agents, and ML systems.
Arize provides tracing, evaluation, and observability for LLM apps, RAG systems, agents, chatbots, and traditional ML, with Phoenix open-source tooling and enterprise platform integrations.
At a glance
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2020
- Employee range
- 51-200
- Funding stage
- Series C Plus
- Company type
- Private
- Last updated
- Pricing model
- FreemiumLicensing Open SourceSubscriptionFree/open-source Phoenix plus enterprise SaaS and self-hosted plans
Business context
Financials
- Revenue estimate
- Unknown / not publicly disclosed
- Valuation estimate
- Unknown
- Investments
- $70M Series C announced Feb 2025; ~$131M+ total funding reported
Market context
Relationships
- Target customers
- AI engineering teams, ML platform teams, data science teams
- Key competitors
- LangSmith, Galileo, Braintrust, Fiddler AI, WhyLabs, Datadog
- Known customers
- Unknown / not consistently disclosed in public sources
Source context
Classification (raw research text)
- Core focus
- AI observability and LLM evaluation
- Core industry
- Horizontal AI infrastructure
- Core category
- AI observability / LLM evaluation
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI AgentsAI Developer ToolsKnowledge & RAGAI Quality & ObservabilityTraditional MLAI Governance & RiskChatbotsVoice AI AgentsAnalytics & BI
Industries
General Purpose