Company research
Data as of June 10, 2026
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Arize AI
ML and LLM observability platform for monitoring and evaluation
AI InfrastructureFounded 2020#22 of 54 in AI Infrastructure
Updated June 10, 2026
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Company profile
What is Arize AI?
Arize AI provides an ML observability platform that helps data scientists and ML engineers monitor, evaluate, and troubleshoot machine learning models and large language models (LLMs) in production. By offering tools for drift detection, performance monitoring, and root cause analysis, Arize ensures the reliability and ethical deployment of AI systems, preventing costly model failures and maintaining model integrity. This positions them as a critical infrastructure provider in the MLOps ecosystem.
History
Research history
5 research updates
History
Research history
Ai Infrastructure
Arize AI: Daily public-repo contributors increased 36.5% over the last 30 days
LatestAi Infrastructure
Arize AI: Daily public-repo contributors increased 35.6% over the last 30 days
2 metricsAi Infrastructure
Arize AI: GitHub commits increased 29.5% over the last 30 days
1 metricAi Infrastructure
Arize AI: GitHub commits increased 27.1% over the last 30 days
1 metricAi Infrastructure
Arize AI: GitHub commits decreased 83.7% over the last 30 days
1 metricLatest company data
Primary data point
Package downloads (30d)Metric: PyPI downloadsSource: PyPI BigQueryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors; pypistats is fallback only.Methodology →
923.5K/30d
Tracked package: PyPI arize
▲ +35%Updated 1d ago
Other data points
Dependent projectsMetric: PyPI dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct reverse dependencies from PyPI.Methodology →
13
Projects depending on tracked package: PyPI arize
Updated 18h ago
GitHub starsMetric: GitHub starsSource: GitHub GraphQL + GH ArchiveScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Stars are bookmarks, not usage.Methodology →
10.1K
Main repository stars
Updated 18h ago
Hacker NewsMetric: Hacker News mentionsSource: Hacker News Algolia APIScope: UTC activity dayUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Search relevance and historical availability come from Algolia's HN index.Methodology →
2/30d
Position #34 in category discussion
Updated 18h ago
Repository health
Maintenance data from the main open-source repository.
Key-person riskSource: GitHub public event dataUpdates: WeeklyCaveat: Minimum developers needed for half of recent code changes. Lower = higher concentration risk.Methodology →
2
External contributorsSource: GitHub public event dataUpdates: WeeklyCaveat: Based on push events; may undercount contributors who only open PRsMethodology →
31
% of recent contributors outside the core team
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to Arize AI.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
40%
About Arize AI
Arize AI provides an ML observability platform that helps data scientists and ML engineers monitor, evaluate, and troubleshoot machine learning models and large language models (LLMs) in production. By offering tools for drift detection, performance monitoring, and root cause analysis, Arize ensures the reliability and ethical deployment of AI systems, preventing costly model failures and maintaining model integrity. This positions them as a critical infrastructure provider in the MLOps ecosystem.
FoundersAparna Dhinakaran, Jason Ding
Funding
$61M · 3 roundsRaised $61M total. Category position #22 of 54 in AI Infrastructure.
Series B2022
$38MTCV
Series A2020
$19MBattery Ventures
Seed2020
$4MFoundation Capital
Investors
Battery VenturesFoundation CapitalTCV
Tracked packages (1)
1 PyPI
arize
PyPIMain PyPI packagearize
ML and LLM observability platform for monitoring and evaluation