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WAO
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About WAO
WAO is an AI performance intelligence platform designed to evaluate and compare AI providers, models, and multimodal workflows before scaling. It measures representative workloads across quality, cost, latency, reliability, safety, and readiness using evidence from actual usage. The platform supports structured evaluation workflows that include measuring tasks, comparing trade-offs, identifying evidence gaps, validating releases, addressing gaps, and monitoring changes over time. WAO maintains a public-safe capability catalog that only lists provider capabilities with current acceptance evidence, ensuring transparency about what is truly available. It provides guided starting points for common decisions such as comparing providers, validating releases, or evaluating specific AI use cases like RAG, document processing, or agent evaluation. Evidence is kept connected to workloads, outputs, and decisions to avoid presenting scores without context.
Key features
- Measure representative AI tasks and outputs
- Compare quality, cost, latency, reliability, and safety across providers
- Evaluate multimodal workflows including text, image, audio, and video
- Track evidence, confidence, and limitations for each decision
- Use structured evaluation with release gates and human review
- Monitor performance after changes to providers or configurations
- Access public capability catalog with current acceptance evidence
- Apply for controlled beta access for broader evaluations
Use cases
- Selecting the best AI provider for a specific workload
- Validating an AI release before deployment
- Evaluating RAG systems for document or image processing
Pros
- Compares providers and models across multiple performance metrics
- Uses representative workload evidence rather than generic benchmarks
- Maintains a public capability catalog with acceptance evidence
- Supports structured evaluation workflows with human review gates
- Provides guided starting points for common AI decisions
Cons
- Controlled beta access with quotas and provider API charges possible
- Limited availability for certain capabilities like agent evaluation
- Requires provider credentials and active project for some features
- No live agent or tool execution available to customers
Frequently asked questions about WAO
What does WAO do?
WAO is an AI performance intelligence platform that evaluates and compares AI providers, models, and multimodal workflows using evidence from representative workloads. It measures quality, cost, latency, reliability, safety, and readiness to help users make informed scaling decisions.
Who is WAO designed for?
WAO is designed for teams and organizations that need to evaluate AI systems before scaling, including developers, product managers, and decision-makers responsible for AI adoption and deployment.
How does WAO help with AI provider comparisons?
WAO allows users to run the same representative scenarios across eligible provider options and compare trade-offs such as quality, latency, reliability, cost, and confidence in a single view.
What kind of evidence does WAO provide?
WAO provides evidence such as tested workloads, outputs, artifacts, latency, safety signals, reliability metrics, and known limitations, ensuring scores are always contextualized.
Does WAO offer guided starting points for common decisions?
Yes, WAO provides guided starting points for decisions like comparing providers, validating releases, or evaluating specific use cases such as RAG, document processing, or agent evaluation.
What is the WAO capability catalog?
The WAO capability catalog is a public-safe resource that lists provider capabilities only when current acceptance evidence is available, ensuring transparency about what is truly ready for use.
