Deepnight vs Stably AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF YC W24 AI night vision software outperforming L3Harris using $50 smartphone cameras; $6M total ($5.5M Initialized seed Feb 2025) with $4.6M govt contracts (Army/Air Force) in first year competing for military low-light imaging.
About
Deepnight is a San Francisco-based defense technology company — backed by Y Combinator (W24) with $6 million in total funding including a $5.5 million seed in February 2025 from Initialized Capital plus $500,000 from Y Combinator — providing the US military and defense contractors with AI-powered night vision software that combines low-light cameras with novel AI image processing algorithms to achieve superior performance versus L3Harris night vision systems at a fraction of the cost using standard smartphone camera hardware. Founded in 2023 by ex-Google engineers Lucas Young and Thomas Li, Deepnight secured $4.6 million in government contracts in its first year of operations, including a US Army contract within one month of joining YC and subsequent contracts with the US Air Force, Sionyx, and SRI International.
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.
About
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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