Anil Prasad

AI Aether - Know where your enterprise AI stands before you scale

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Most enterprises spend millions on AI with zero measure of readiness. No baseline. No gap analysis. Just vendor promises and optimism. AI Aether fixes that. It scores your enterprise across 5 production-critical dimensions- data, governance, safety, infrastructure, and org capability - built from 25+ years of Fortune 100 AI deployments. Know your AI Differentiation Quotient in 30 minutes. Not a survey. Signal from the field.

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Anil Prasad
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Hey Product Hunt πŸ‘‹ I'm Anil Prasad - founder of Ambharii Labs, Head of Engineering at a leading Energy and Utility company, and someone who has spent 25+ years deploying AI in production at Fortune 100 companies including R1 RCM, Ambry Genetics, Medtronic, and UnitedHealth Group. I built AI Aether because I kept watching the same failure pattern repeat across every major enterprise I worked in. Organizations skip the baseline, rush to implementation, and wonder 12 months later why adoption stalled and ROI disappeared. The problem was never the models. Nobody had an honest, scored picture of readiness before they started. AI Aether fixes that across 5 dimensions: β†’ Data Readiness β†’ Model Governance β†’ Safety Posture β†’ Infrastructure Maturity β†’ Organizational Capability Live demo running right now. No signup. No sales call. What I'd love from the PH community today: 1. Run the assessment β€” tell me what dimension I'm missing 2. If you're inside an enterprise making major AI bets, let's talk deployment 3. If you're building AI infrastructure at scale β€” acquisitions and partnerships are an open conversation anil@ambharii.com This is 25+ years of production experience shipped as a product. Thank you for hunting itπŸ™
Anil Prasad

What's the most expensive LLM failure you've had in production?