Deepnight vs 100ms

Side-by-side comparison of AI visibility scores, market position, and capabilities

Deepnight leads in AI visibility (44 vs 39)

Deepnight

EmergingInfrastructure

IT Operations

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.

AI VisibilityBeta
Overall Score
C44
Category Rank
#23 of 68
AI Consensus
74%
Trend
up
Per Platform
ChatGPT
44
Perplexity
41
Gemini
51

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.

Full profile

100ms

EmergingDeveloper Tools

Live Video Infrastructure

100ms is a live audio/video infrastructure platform with SDKs for React, iOS, Android, and Flutter, providing programmable rooms, recording, and live streaming for web and mobile apps.

AI VisibilityBeta
Overall Score
D39
Category Rank
#1 of 1
AI Consensus
53%
Trend
up
Per Platform
ChatGPT
50
Perplexity
49
Gemini
40

About

100ms is a live audio and video infrastructure platform that provides developers with SDKs and APIs for embedding real-time communication features — video rooms, audio spaces, live streams, and recording — into web and mobile applications. The platform is designed around a room-based model where developers programmatically create, configure, and manage video rooms through a REST API, with client SDKs for React, iOS, Android, Flutter, and React Native handling the media layer. This abstraction allows teams to build fully custom video experiences with their own UI without dealing with WebRTC internals, TURN server management, or media server infrastructure.

Full profile

AI Visibility Head-to-Head

44
Overall Score
39
#23
Category Rank
#1
74
AI Consensus
53
up
Trend
up
44
ChatGPT
50
41
Perplexity
49
51
Gemini
40
44
Claude
32
40
Grok
37

Capabilities & Ecosystem

Capabilities

Only Deepnight
IT Operations
Only 100ms
Live Video Infrastructure

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