WhatA continuous, independent testing service that detects model quality regressions across major LLM providers and alerts subscribers before they impact production workloads.
SignalUsers report that major version updates can be severe regressions — bad enough to cancel subscriptions — and there is no trusted independent source to catch these quality drops before they hit users in production.
Why NowLLM providers are shipping updates at breakneck speed (multiple sub-versions per month) and silently swapping models behind API endpoints, making regression detection a critical unmet need.
MarketAI-native companies and enterprises with LLM-dependent products; ~50K+ teams spending on LLM APIs; $500M+ TAM in AI observability; Artificial Analysis exists but focuses on speed benchmarks, not regression detection.
MoatHistorical benchmark dataset across every model version becomes irreplaceable over time; early contracts with enterprises create switching costs.
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