WhatAn on-premise LLM inference stack purpose-built for regulated industries (finance, healthcare, government) that guarantees data never leaves the organization's hardware while matching cloud-tier performance.
SignalA vocal segment of technical users refuses to use cloud AI entirely — not just for cost but for sovereignty, predictability, resilience, and freedom from model changes, censorship, and surprise bills, treating it like rooftop solar where control matters more than pure economics.
Why NowRegulatory pressure (EU AI Act, HIPAA enforcement on AI, government data sovereignty mandates) is forcing regulated industries to find alternatives to cloud AI at exactly the moment local hardware can run capable models.
MarketRegulated enterprises in finance, healthcare, defense, and government; $10B+ compliance software market; competitors like Anyscale and vLLM focus on performance, not compliance packaging.
MoatCompliance certifications (SOC2, HIPAA, FedRAMP) are expensive and slow to obtain, creating a durable barrier; deep integration with industry-specific workflows compounds switching costs.
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