WhatA middleware layer that sits between AI-powered support systems and customers, automatically detecting when the AI response is worse than the deterministic alternative and routing accordingly.
SignalMultiple practitioners report that companies are replacing working deterministic support systems with LLM versions that are measurably slower and less accurate, yet no tooling exists to objectively benchmark AI versus rule-based approaches in production.
Why NowThe first wave of hastily deployed AI support bots is now generating measurable customer dissatisfaction data, creating a correction window where companies need to fix what they broke without admitting they were wrong to deploy AI.
MarketCustomer support SaaS buyers across enterprise; $15B+ support software market; competes with Zendesk/Intercom AI features but positioned as the quality control layer on top of any provider.
MoatAccumulates production performance data across hundreds of support deployments, building the definitive benchmark of where AI support works versus fails by industry and query type.
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