WhatA B2B SaaS that continuously monitors AI vendor stability — financials, product churn, API deprecations, leadership changes — and generates risk scores to help enterprises decide which AI platforms to build on.
SignalMultiple commenters express that no serious company should build on tools that could disappear in six months, and OpenAI's spray-and-pray approach is eroding trust among potential enterprise customers who need reliability guarantees.
Why NowEnterprise AI adoption is hitting an inflection point where companies are moving from experimentation to production deployments, making vendor stability a critical purchasing criterion for the first time.
MarketEnterprise procurement and engineering teams at companies spending $100K+/year on AI; ~$2B AI governance/risk market; incumbents like Gartner cover this superficially but not with real-time monitoring.
MoatProprietary dataset of vendor signals (API changelog scraping, job posting analysis, financial filing parsing) compounds over time, and early enterprise contracts create switching costs.
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