The question a toy factory should be asking is not whether to build an AI toy, but what the essential difference is between an AI module and a traditional movement. We write this from a solution provider's point of view, set the whole thing out plainly, and explain the key decisions we made along the way, as a reference for peers who are evaluating.
The industry is turning fast
First, a frame of reference: Nablai has packaged three chip platforms - Tuya T5E, Espressif ESP32S3 and PY32 - into three AI toy module product lines, TY / LX / NT. Every module code mentioned below refers to those three lines - TY for the fast lane overseas, LX for brand sovereignty, NT for a low-cost market test.
The industry is turning fast, and that is not a slogan. According to Guangdong Province's Action Plan for Accelerating AI Adoption in the Toy Industry (2025-2027), by 2027 the province is targeting revenue of RMB 100 billion from toy manufacturers above a designated size, with AI toy penetration above 30%. The plan explicitly supports the development of easy-to-embed AI chips, AI plug-ins and AI modules, encourages on-device vertical LLMs for toys, and supports AI-enabled robots in opening up new markets for companion toys (mini AI robots, bionic pets and similar forms). A September 2025 report from Market Research Future also forecasts the global AI toy market growing from US$42.15 billion in 2025 to US$224.75 billion by 2034, a compound annual growth rate of around 20.48%. Policy and capital are pushing toy AI-ization into the mainstream at the same time, and whether a toy factory does it has moved from an open question to a required one.
Start with the ceiling on traditional toy movements. Ordinary motorized, sound and simple-sensor movements are essentially command executors: press a button and it makes a sound, pull a string and it moves. The user is the only active party, the toy cycles through a preset script, and there is no semantic understanding, no memory and no network. It can move, but it has no idea what you are saying to it; it can make noise, but it cannot catch a child's offhand remark. That is the limit of a traditional movement - innovation sat for years on character design and materials, the functional layer barely moved, and it is hard to build a long-term relationship with the user.
What makes an AI module different is that it is a local SDK + cloud API dual-stack system. Take the TY002, built on Tuya T5E, and the LX002, built on Espressif ESP32S3, both from Nablai: the local SDK handles device logic, the wake word and basic interaction, so that even at the moment the network weakens or drops it can still catch the child's remark using on-device capability; the cloud API handles AI conversation, multiple languages and OTA upgrades, putting semantic understanding and content updates where there is more compute. The two are in the same architecture class; the difference is ecosystem ownership and brand sovereignty, not a split between cloud and local. What actually brings a toy to life is local fallback plus cloud semantics working together, not loading all the pressure onto one end.
On acceptance, here is a set of hard criteria a toy factory can check against, so that a specification sheet cannot fool you. First, first response: from the moment the child stops speaking to the moment the toy replies, basic on-device interaction must be < 1.5 seconds, and on-device has to cover the instant the network weakens or drops - no dead air that makes the child lose patience. Second, the conversation stays on topic: across several consecutive turns it does not go off the rails or jump suddenly to something unrelated, ideally with a content fence holding the boundary. Third, multilingual has to be genuinely usable: TY's 60+ languages are not canned translation-sounding output, they can really hold a conversation and catch a child's offhand question instead of only reciting preset lines. Fourth, compliance and sustainable upgrades: children's data is handled to GDPR / COPPA / CCPA pre-compliance, and content and capability can keep iterating over OTA. Writing these four into the acceptance sheet is far more reliable than reading the words supports an LLM - specifications go out of date, while the experience and whether a child keeps playing are what hold.
Not every smart module needs an LLM either. NanoToy (built on PY32) is a pure UART command module - no AI, no cloud, no SDK - driven by command frames to run the expression screen, vibration and audio. What it does is command-driven performance. It is the lowest cost and the most stable, suited to high-volume merchandise and cheap market tests. Confusing the TY/LX dual-stack smart modules with the NanoToy UART command module is the most common mistake in selection: the first answers can it understand and respond, the second answers can it move well. The positioning is completely different, and neither can replace the other.
Coming back to what we got right, we got at least three things right. First, we treated first response as a hard metric: once a child finishes a sentence, patience drops after 1.5 seconds, so we put basic interaction on-device and semantics in the cloud, and there is no dead air even on a weak network. Second, we stuck with the module + app dual track - LX ships with the Nablai App, the WeChat Mini Program and the AMS console together, so a toy company's users and data stay in its own hands rather than settling on someone else's platform. Third, we give customers three clear routes: TY for overseas, LX for sovereignty, NT for testing the water, with no forced upgrades and no piling on of useless specifications. The complexity stays with us; the choice stays with the customer.
For selection, here is a one-line framework for a toy factory: first ask whether you need overseas markets or multiple languages (TY works out of the box), then whether you need your own brand and data (LX gives complete sovereignty), then the price band (NT for volume). The three are not mutually exclusive - you can validate demand with TY and then build up with LX, or test the water with NT and then upgrade to the dual stack. The anchor for the decision is always the commercial goal, never the biggest number on the specification sheet.
A few practical suggestions for toy factories, to save you some detours. First, do not rush to the cloud: work out the product positioning first. For cheap high-volume products, NanoToy (PY32) pure UART is enough; only move to the dual stack when you need conversation and memory. Second, watch first response and weak-network behavior during acceptance: a child's patience window is only 1.5 seconds, and on-device has to catch the moment the network drops. If those two fail, no model is smart enough to keep the child. Third, be clear about sovereignty: if you want your own brand and user data, choose LX (accounts, subscriptions, content and data all stay yours); if you just want to go overseas quickly, TY out of the box is easier. Hand the complexity to the solution provider and focus on design and manufacturing yourself.
FAQ
Q: What is the biggest difference between an AI module and a traditional movement?
A: A traditional movement is a button-to-sound command executor, with no semantics, no memory and no network; an AI module is a local SDK + cloud API dual stack that can understand, respond, remember and upgrade.
Q: Are the TY and LX architectures the same?
A: Both are dual stack. The difference is ecosystem ownership and brand sovereignty: TY is built on Tuya T5E, works out of the box, but sovereignty sits with the platform; LX is built on Espressif ESP32S3, with accounts and data belonging to the brand owner.
Q: Do we have to use a cloud LLM?
A: Not necessarily. NanoToy (PY32) is a pure UART command module with no AI and no cloud, suited to low-cost high-volume products; whether you go to the cloud depends on the product positioning and the budget, and there is no one-size-fits-all answer.
About Nablai
Nablai is an AI company, and AI smart toys are the application area we focus on today. Our product is the AI smart toy module, and our goal is to give toy companies a product-level solution for bringing AI into their toys.
We have built three product families:
- TY Series: built on Tuya T5E, 60+ languages, the fast lane into global markets
- LX Series: built on Espressif ESP32S3, full brand ownership, deep customization
- NT Series: built on PY32, a low-cost way to test the smart toy market
- Website: https://www.nablai.com.cn
- Phone: 15917703502
- Slogan: Driven by gradients, optimized by intelligence. Powered by Nabla, Optimized by AI.
Shenzhen Nablai Intelligent Technology Co., Ltd. — AI module specialists for smart toys
📧 contact@nablai.com.cn 🌐 www.nablai.com.cn