Ring founder Jamie Siminoff: 100M cameras deployed, AI-powered fire detection launched at CES, and why edge AI ages like fish

Summary

Ring has surpassed 100 million cameras deployed globally and is operating as a profitable business within Amazon, founder Jamie Siminoff confirmed at CES 2026. The milestone is a long way from Ring's origins as Doorbot, which appeared on Shark Tank at a $7 million valuation before selling to Amazon for $1 billion.

CES Launches

Siminoff announced three major product releases at the show.

• Fire detection via Watchd Duty integration. Ring is launching a feature that alerts customers in fire zones and pipes camera data directly into the Watchd Duty platform. Ring had over 10,000 cameras in the Pacific Palisades area during the January 2025 fires. Opted-in users contribute AI-analyzed footage that tracks embers, smoke movement, and fire spread in real time, feeding an up-to-the-minute map used by emergency command centers and residents alike. Siminoff, who lives in Pacific Palisades, framed the product as a direct response to what he witnessed firsthand.
• Elite camera line. A new multi-lens 4K product tier targeting higher-end residential and enterprise use cases. Siminoff emphasizes pixel density over raw resolution as the meaningful performance metric, arguing current 4K pricing sits at the optimal price-to-quality inflection point for residential.
• Third-party app store. Ring opened a developer marketplace allowing entrepreneurs to build custom applications on top of its camera network. The use case extends well beyond security — Siminoff cited coffee shop queue management, table cleanliness monitoring, and staff performance tracking as near-term commercial applications.

AI Architecture

Siminoff is deliberately keeping advanced AI processing in the cloud rather than at the edge, arguing that edge-embedded models "age like fish on a hot day." By the time hardware ships, on-device intelligence can already be obsolete. The layered approach runs basic human-versus-motion classification at the camera level to limit server load, with final processing handled in the cloud where models can be updated continuously.

His read on the current AI landscape is that model capability is now outpacing Ring's ability to build product and UI around it — a reversal from prior years when engineering would push back that a feature wasn't technically feasible yet.

B2B Expansion

Ring counts over 500,000 small and medium businesses as customers, most of whom adopted the product organically rather than through any enterprise sales motion. Siminoff explicitly rules out a traditional enterprise go-to-market — no RFP responses, no dedicated sales force. The strategy mirrors the iPhone's enterprise penetration: consumer adoption pulls the product upmarket. A new solar-powered mobile surveillance trailer, positioned as a lower-cost entry into the job site and parking lot security market, was also unveiled at CES.

Robotics and Physical Deterrence

Siminoff is bullish on robotics for security but draws a clear line between enterprise and residential economics. Humanoid security robots make sense at the high end today, but for Ring's core high-volume, low-cost residential model, the price point is not yet viable. He pegs $500 as roughly the threshold at which a consumer humanoid becomes practical. In the near term, Ring's "virtual security guard" feature — which routes camera alerts to a live human operator — represents the hybrid human-AI deterrence model he sees as most effective for reducing residential crime. Siminoff believes that combining AI triage with targeted human response can effectively zero out certain crime patterns, citing the organized break-in epidemic that had affected Pacific Palisades residents prior to the fires.