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Platform

One platform to measure, compare, monitor, and improve AI applications.

WAO helps teams benchmark before deployment, compare configured AI providers, monitor production behavior, understand AI Health, and improve performance with evidence-based recommendations.

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Platform Story

A simple loop for trustworthy AI performance

01Upload or connect workload
02Run benchmark
03Compare providers
04Review AI Health
05Deploy through Gateway
06Monitor and improve

Pillars

Modular, governed, provider-neutral

Proof

WAO Benchmark

Run prompt datasets through controlled evaluations to understand quality, latency, reliability, provider behavior, and business value before deployment.

  • Prompt datasets
  • Provider comparison
  • Quality evaluation
  • Performance reports
Explore WAO Benchmark
Control

WAO Gateway

Place a measurable intelligence layer between applications and configured AI providers for execution, monitoring, policy, safety, and usage analytics.

  • Project API keys
  • Provider abstraction
  • WAO Auto-Select
  • Production monitoring
Explore WAO Gateway
Improve

AI Health

Track AI Health across projects, workspaces, and organizations with confidence, maturity, evidence coverage, and recommendations.

  • AI Health Score
  • AI Maturity
  • Confidence Level
  • Improvement Roadmap
Explore AI Health

Value

What the platform gives leaders and builders

Evidence

Benchmark results, quality scores, judge explanations, and reports.

Provider Comparison

Run the same workload across configured providers and compare quality, latency, cost, safety, and confidence.

Control

Gateway security, API keys, policy foundations, and isolation.

AI Health

Scores, maturity, confidence, and improvement recommendations.

Governance

RBAC, audit, compliance, and enterprise readiness foundations.

Observability

Latency, reliability, usage, safety, and operational visibility.

Business Context

Reports translate AI behavior into decision-ready evidence.

Launch WAO

Ready to measure and improve your AI?

Start with one benchmark, review AI Health, and use evidence-based recommendations to improve before you scale.