CorporateAIAU Index
Full landscape
Q2 2026 · 6 vendors

AI Observability

Monitoring, tracing, evaluation, and debugging of LLM applications and AI pipelines in production

6

Total vendors

2

AU presence

1

Market leaders

0

AU-native

Competitive Position Map

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↑ Capability / Market PositionClick any dot to zoom in
Market LeadersGlobal ChallengersAU SpecialistsWatch ListCapability / Market PositionAU Market Presence →LowHighLowHighDNWLAH
Size = tier weightLeaderChallengerSpecialist / AU-Native / EmergingWhite ring = AU-headquartered 🇦🇺
Market LeadersDominant market share or de facto standard1 vendors
D
Datadog AI Observability
Leader

LLM traces, cost tracking, and evaluation integrated into Datadog's existing APM. Already deployed in most large AU tech teams.

🇦🇺 AU contextZero-friction adoption for AU companies already on Datadog — dominant via installed base.
ChallengersStrong position, growing fast2 vendors
N
New Relic AI Monitoring
Challenger

LLM performance monitoring, token cost tracking, and response quality evaluation within New Relic platform.

W
Weights & Biases (W&B)
Challenger

Experiment tracking, model monitoring, and LLM evals. Popular in AU ML research teams and AI-native startups.

Specialists & AU-NativeDeep capability in a focused niche, or AU-headquartered2 vendors
L
Langfuse
Specialist

Open-source LLM observability. Prompt tracing, cost analytics, and eval framework. Fast-growing in AU developer community.

A
Arize AI
Specialist

ML and LLM observability platform. Embedding drift, hallucination detection, and performance monitoring.

EmergingEarly stage, high potential1 vendors
H
Helicone
Emerging

Lightweight LLM proxy with observability. One line of code integration — popular for AU startups and proofs-of-concept.

Tier classifications based on public market data, AU customer announcements, and AEAI signal analysis. Not investment advice. Updated quarterly. Suggest an addition →