Hardware & Memory / Smart Home & IoT / Smart Toothbrush

Smart Toothbrush Voice Control SDK

Wi-Fi toothbrush

All Smart Home & IoT devices

How BotSurf works on a Smart Toothbrush

BotSurf runs on a Smart Toothbrush as an on-device AI voice agent, not a fixed list of matched commands. Voice brushing data, coaching. Because the underlying engine is a real AI model rather than a command-matching layer, it handles phrasing variation, multi-step requests, and follow-up questions the way a person actually talks — not the rigid "say this exact phrase" pattern older voice integrations require.

The manufacturer opportunity

Oral health market. This is a genuine AI differentiator, not a rebadged wake-word matcher — Smart Toothbrush manufacturers can market real on-device AI reasoning, multi-step task handling, and privacy-preserving local processing, positioning against competitors still shipping fixed-command "voice control" as if it were the same thing.

Hardware & memory baseline

The floor Smart Home & IoT devices need to clear before integration; exact figures are confirmed per project once we know your chipset and target markets.

Minimum RAM 256 MB for simple sensors/actuators relaying to a hub; 1 GB for hub devices running local AI agent orchestration
Minimum storage 1–4 GB depending on whether the device is a simple endpoint or the hub coordinating a whole home's voice layer
CPU architecture ARM Cortex-M/A depending on device tier; simple endpoints can run on microcontroller-class hardware, hubs need real application-processor headroom
Microphone array Only required on the device the person actually talks to (hub, speaker-integrated devices); most endpoints in this category never need one
Network Wi-Fi, Zigbee, Z-Wave, Thread or Matter depending on device role; BotSurf's AI intent layer sits above whichever protocol the device already uses
Interoperability This is the category where cross-device AI orchestration matters most — one spoken command routing correctly to the right bulb, lock or thermostat depends on clean protocol-to-intent mapping
Chipset compatibility Broad support across the Espressif, Nordic, and Realtek families common in IoT endpoints, plus full-featured SoCs for hub-class devices

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