
WAO - Waltrump AI Orchestrator
Measure, compare, and improve AI with evidence.
2 followers
Measure, compare, and improve AI with evidence.
2 followers
WAO is an AI Performance Intelligence Platform for teams choosing, evaluating and governing AI. Explore 36 capabilities spanning benchmarking, provider intelligence, AI Health, quality metrics, reports, multimodal evaluation, RAG, visibility, authenticity and agent workflows. Controlled Beta access is invite-only; availability varies by provider, model, operation, modality and project, and some workflows require customer-managed BYOK.






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Hi Product Hunt 👋
I’m Vaibhav, founder of Waltrump Technology.
We built WAO because teams are adopting more AI providers, models and modalities, but the evidence needed to make dependable decisions is still fragmented.
One good AI response does not prove reliability, safety, cost efficiency or readiness to scale.
WAO brings 36 connected capabilities into one AI Performance Intelligence platform:
• Benchmark and compare providers, models and configurations on representative workloads
• Track 23 customer-safe metrics across quality, reliability, cost, safety and business value
• Review AI Health, readiness, stability, evidence coverage and recommended next actions
• Generate decision scorecards, reports and release evidence
• Evaluate text, retrieval and RAG, documents and OCR, image, audio, video and agent workflows where the exact provider and model operation is available
• Use customer-managed BYOK and project-scoped activation for provider-backed workflows
• Submit existing AI outputs for analysis when direct execution is not yet available
WAO is currently free and invite-only.
All 36 capabilities are discoverable, but availability varies by provider, model, operation, modality, region and project. Some capabilities are available now, some require activation or BYOK, and others remain in review, demo, preview or not-yet-enabled states.
We are looking for practical feedback:
What real AI problem should WAO help you measure, compare or improve first?