Side-by-side comparison of AI visibility scores, market position, and capabilities
SF trust and safety platform for AI labs and social platforms with content moderation, AI safety, and data labeling; YC W22 $14M AWS GenAI Accelerator/Accel-backed by ex-Facebook security and counterterrorism founders.
Cinder is a San Francisco-based trust and safety platform — backed by Y Combinator (W22) with $14 million raised from AWS Generative AI Accelerator, Accel, Pioneer Fund, Webb Investment Network, and YC — providing AI labs, e-commerce platforms, and social media companies with infrastructure to orchestrate and automate content moderation, AI safety red-teaming, policy enforcement, and data compliance workflows, while uniquely combining content moderation operations with AI training data labeling to create high-quality, policy-informed datasets. Founded in 2021 by Glen Wise (former Facebook security engineer) and Phil Brennan (former US government counterterrorism specialist), Cinder launched from stealth in December 2022 after two years of building with early enterprise customers.
SF YC AI test automation at $1M ARR Dec 2024 with 5 employees; ex-Google/Uber founders with self-healing tests that auto-repair when UI changes helping OpenArt scale to $16M ARR competing with Mabl for zero-flakiness CI testing.
Stably AI is a San Francisco-based AI test automation platform — backed by Y Combinator — reaching $1 million in annual revenue in December 2024 with a 5-person team — providing engineering teams with an AI platform that auto-generates, runs, and maintains end-to-end tests in CI/CD pipelines with zero-flakiness guarantees and self-healing capabilities that automatically repair tests when UIs change, replacing the brittle Playwright and Cypress test suites that break with every UI update. Founded in 2023 by ex-Google Chrome infrastructure engineer Jinjing Liang (CEO) and ex-Uber Safety ML engineer Neil Parker (CTO), Stably enables customers like OpenArt (which scaled to $16M ARR with a 10-person engineering team using Stably) to achieve test coverage without dedicated QA engineers.
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