Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Relyable records 3,451 monthly visits with -45.5% growth and Freemium, Paid pricing.
Agent observability, evaluation, and continuous improvement for production AI
Ship bulletproof AI voice agents 100x faster with simulation, evaluation and live monitoring.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | arize.com | relyable.ai |
| Pricing Model | Paid, Contact for Pricing | Freemium, Paid |
| Monthly Visits | 249.03K (249,028) | 3.45K (3,451) |
| MoM Traffic Delta | +7.67K (+3.2%) | -2.88K (-45.5%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🇺🇸 United States (72.6%) |
| Direct Visits / mo | 107.84K | 1.35K |
| User Rating | 4.6 | 4.7 |
| Supported Platforms | Website | Website |
Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.
Ship bulletproof AI voice agents 100x faster with simulation, evaluation and live monitoring.
Auto-generate test cases from your system prompt or define your own, then run hundreds of parallel simulated conversations with presets for accent, mood and goal.
Score every call against weighted, customisable criteria such as task completion, policy accuracy, sentiment, interruption handling and latency, with seven-day trend tracking.
Every production call is silently logged and scored in real time, with alerts routed to Slack, email, PagerDuty, Opsgenie, Linear or webhooks when something drifts.
Connect Vapi, Retell or ElevenLabs agents in under five minutes using an API key, or route custom agents through the provided number and API.
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.
Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Automated QA, simulation and observability for voice and chat AI agents
Free / Open-sourceAgent observability, evals and governance for AI platform teams
Free / Open-sourceAgent observability, evals and governance for AI platform teams
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Provides enterprise governance and model explainability features, but has a steeper setup curve for pure LLM tracing.
Provides enterprise governance and model explainability features, but has a steeper setup curve for pure LLM tracing.
The security layer for voice and chat agents: test, red-team, and monitor every call
The security layer for voice and chat agents: test, red-team, and monitor every call
