aiAxonIQ
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AI & LLM Observability

Observe every AI call.
Optimize every token.

OpenLLMetry-compatible AI observability. Track token usage, latency, cost, and agent behavior across every LLM provider with zero code changes.

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Token trackingCost attributionModel comparisonAgent tracesMulti-providerOpenLLMetry
Instrumentation

Three lines of code. Complete visibility.

Add OpenLLMetry-compatible instrumentation to your Python or JavaScript AI code and get observability into every LLM call — no API key changes, no proxy.

  • Works with OpenAI, Anthropic, Google, Groq, Cohere, and more
  • Captures token counts, latency, and model per call
  • Agent + workflow + tool spans tracked in full
  • Vector DB retrieval spans for RAG pipelines
aiaxoniq.com — LLM Insights
Instrumentation
LLM Insights · Live view
Live
Feature
Works with OpenAI,
Feature
Captures token counts,
Feature
Agent + workflow
Cost

Find the token waste before your finance team does

See exactly which models, agents, and users are spending your AI budget. Attribute costs down to the conversation level.

  • Cost attribution by model, user, agent, and workflow
  • Budget alerts before overruns happen
  • Model comparison: same task, which model is cheapest?
  • Token efficiency trends over time
aiaxoniq.com — LLM Insights
Cost
LLM Insights · Live view
Live
Feature
Cost attribution by
Feature
Budget alerts before
Feature
Model comparison: same
Quality

Debug AI failures with the same tools you use for APIs

Agent errors, slow responses, and failure-prone prompts all show up in the same trace explorer you use for microservices.

  • Full conversation traces with prompt + completion content
  • Error rate by model and operation type
  • Latency percentiles per provider and model version
  • Correlate LLM spans with the services that called them
aiaxoniq.com — LLM Insights
Quality
LLM Insights · Live view
Live
Feature
Full conversation traces
Feature
Error rate by
Feature
Latency percentiles per

Built for every team that cares about reliability

One platform, tailored to how your team actually works.

AI/ML engineers

Debug every agent call

See the full trace of every agent decision, tool call, and LLM response.

Platform teams

Control AI costs

Budget alerts, cost attribution, and model efficiency tracking.

Engineering leads

Model governance

Track which models are in use, their costs, and error rates across all teams.

Under the hood

LLM calls are just spans — and that's the point

aiAxonIQ ingests OpenLLMetry-format spans through the same OTLP pipeline as your application traces. Token counts, model names, latency, and cost live next to your service telemetry, so an expensive prompt correlates to the request, the user, and the service that triggered it.

OpenLLMetry-compatible ingestToken cost, latency, and model breakdownCorrelated with application traces

Also in the platform

AI Insights APM & Tracing Security

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Free tier · No credit card · Deploy in 5 min · Self-host or cloud