Detect LLM outages and orchestrate failover to keep SaaS uptime high

Detect LLM outages and orchestrate failover to keep SaaS uptime high targets a $6.0B = 2M businesses × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 35% YoY (estimated; driven by enterprise LLM adoption and increase in AI-powered product integrations).

Key trends driving demand: Rapid LLM adoption — more products embed LLMs as core features, increasing the blast radius of provider outages and motivating reliability tooling.; Multi-provider strategies — customers adopt multi-LLM architectures and need orchestration and routing to manage provider availability and cost.; Observability for AI — teams require semantic-level metrics (hallucination rates, prompt sensitivity) beyond traditional latency/error metrics.; Commercialization of model SLAs — as LLMs become revenue-critical, enterprises demand contractual uptime and auditability tied to performance..