Sight Machine vs 100ms

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

100ms leads in AI visibility (39 vs 19)
Sight Machine logo

Sight Machine

EmergingManufacturing

Manufacturing Analytics

$148M funding (Series D 2024 TeamViewer); $21M revenue Nov 2024; 65 employees; Nike/Sony/Nissan/Google customers; NVIDIA/Microsoft partnerships 2024; manufacturing analytics leader

AI VisibilityBeta
Overall Score
D19
Category Rank
#1 of 1
AI Consensus
75%
Trend
up
Per Platform
ChatGPT
15
Perplexity
24
Gemini
22

About

Sight Machine is a manufacturing analytics company founded in 2011 by Jon Sobel and Avy Faingezicht to apply machine learning to the operational data generated by industrial production lines — a problem domain the founders recognized as vastly underserved given the volume of sensor, machine, and quality data that manufacturers collect but rarely analyze at scale. The company was built on the insight that manufacturing data has unique structural properties — high frequency, multi-modal, process-dependent — that require purpose-built analytics infrastructure rather than general-purpose BI tools. Sight Machine's platform ingests streaming data from machines, SCADA systems, MES, and quality inspection systems to build real-time digital models of production processes.\n\nSight Machine's platform provides manufacturers with production dashboards, root cause analysis tools, predictive quality models, yield optimization recommendations, and OEE (Overall Equipment Effectiveness) analytics across their facilities. The company has developed integrations with industrial data infrastructure including OSIsoft PI, Siemens, and Rockwell systems, as well as cloud data platforms from Microsoft Azure and NVIDIA for GPU-accelerated model training. Strategic partnerships with NVIDIA and Microsoft provide Sight Machine with AI compute infrastructure and go-to-market channels that amplify its reach into enterprise manufacturing accounts. Customers include Nike, Sony, Nissan, and Google — spanning consumer goods, electronics, automotive, and technology manufacturing.\n\nSight Machine raised $148 million in total funding, with a Series D investment from TeamViewer in 2024, and reported $21 million in annual revenue as of November 2024. The TeamViewer investment reflects strategic alignment around industrial remote access and digital twin capabilities that complement Sight Machine's analytics layer. The company competes in the industrial AI and manufacturing analytics space against platforms including Sight Machine, Rockwell Plex, and GE Vernova's APM suite, as well as emerging AI-native startups applying foundation models to process manufacturing data.

Full profile
100ms logo

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

19
Overall Score
39
#1
Category Rank
#1
75
AI Consensus
53
up
Trend
up
15
ChatGPT
50
24
Perplexity
49
22
Gemini
40
25
Claude
32
19
Grok
37

Capabilities & Ecosystem

Capabilities

Only Sight Machine
Manufacturing Analytics
Only 100ms
Live Video Infrastructure

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