Voice and audio
Microphone arrays, wake behavior, speakers, amplifiers and acoustic paths are designed for the toy form.
AI toy engineering
Turn an AI experience into a buildable toy.
Describe how the toy should listen, respond, move, light up or connect. We translate that experience into voice architecture, electronics, firmware, power, enclosure and a production plan.
- Voice systemsMicrophone and speaker architecture
- Device or cloudPrivacy-aware architecture choices
- Firmware + PCBPrototype through production
Voice + sensors + firmware + production
- Voice systemsMicrophone and speaker architecture
- Device or cloudPrivacy-aware architecture choices
- Firmware + PCBPrototype through production
- One project planEnclosure, testing and scale-up
A simpler start
Send the files you have. Get a clear next step.
A sketch, character, specification or reference product is enough for an initial feasibility review.
Start from your current ideaShare the brief, files and references already available. The review identifies what is usable and what is still missing.
See a realistic milestoneA standard-platform sample often targets 7 to 14 days. Fully custom work receives a schedule after feasibility.
Keep ownership clearYour brand, characters and content remain yours. Paid custom deliverables follow the signed agreement.
Clear portfolio role
One buyer job. No doorway-page overlap.
Develop AI, voice, sensor and connected toy systems that require electronics, firmware, interaction and production engineering.
Kept outside this site
Conventional plush, standalone printed products and generic manufacturing content stay on their own specialist properties.
- AI architecture
- Voice interaction
- Sensors and expression
- Firmware and PCB
- Privacy assumptions
- AI toy scale-up
What this team solves
A product system, not a disconnected supplier list.
Every capability below connects to the same brief, approvals and target launch.
Firmware and PCB
Controls, power, connectivity, firmware and update behavior move from block diagram to functional prototype.
AI architecture
On-device, cloud or hybrid processing is chosen against latency, privacy, cost and connectivity.
Toy form
Plush, robot or hard enclosure decisions protect acoustics, sensors, access and the intended play pattern.
Privacy and safety
Age grade, data assumptions, parental controls, battery access and target-market requirements enter scope early.
Production scale-up
Tooling, functional fixtures, provisioning, pilot builds, packaging and inspection follow the approved architecture.
Buyer advantage
Choose the AI architecture before the toy architecture chooses for you.
Latency, privacy, power, connectivity, acoustic performance and update behavior all compete for space and cost. The first engineering review forces those tradeoffs into the open.
Review My AI Toy Concept- Conversation model and response latency
- On-device, cloud or hybrid processing
- Microphone, speaker and acoustic target
- Sensors, lights, motors and controls
- Connectivity, app and update requirements
- Data, parental control and privacy assumptions
Approval-led process
Know what each stage must prove.
The next stage starts only when the current product decision is documented well enough to protect cost, quality and schedule.
Experience brief
Define what the child does, what the toy senses and how it responds.
Architecture review
Map processing, connectivity, audio, sensors, power and cost.
Functional prototype
Validate the interaction, latency, acoustics and controls before tooling.
Engineering sample
Integrate firmware, PCB, enclosure and production test requirements.
Pilot and scale
Provisioning, functional fixtures, inspection and packaging control the launch.
Interactive buyer tool
Configure the first AI toy architecture
Choose the experience and constraints, then add your details. Send once and we reply with the first architecture and the questions to resolve before enclosure tooling.
Architecture inputs
Set the experience, the constraints and your details in one place. A single press returns the architecture and starts the engineering review.
Working recommendation
Project plan
A single press returns this architecture and starts the engineering review. It is a planning aid, not a final engineering, cost or compliance decision.
Representative project patterns
See the decisions behind the finished product.
These anonymized patterns demonstrate scope and process. Customer names and measured results require publication permission before indexing.
Anonymized pattern
Expressive companion
LED expression, voice response and touch input coordinated around a soft product form.
Review the decision path
Anonymized pattern
Character AI plush
Character silhouette preserved while microphone, speaker and controls enter the body.
Review the decision path
Anonymized pattern
Connected learning toy
Content, voice, safe controls and update behavior mapped before the engineering sample.
Review the decision pathIndexability gate
AI claims need working demonstrations.
Every indexed feature page should connect to an engineer-reviewed diagram, prototype, test or demonstration, not a generic AI promise.
ArchitectureEngineer-reviewed system block diagram
InteractionLatency and response demonstration
AcousticsMicrophone and speaker prototype
Scale-upProvisioning and functional-test plan
Prepare a better brief
Resolve the next buyer decision.
Buyer resource
AI architecture options
Compare on-device, cloud and hybrid processing decisions.
Use this resource
Buyer resource
Voice system brief
Prepare microphone, speaker, language and content requirements.
Use this resource
Buyer resource
AI toy process
See the approvals from experience brief through pilot build.
Use this resourceQuestions before the first review
Can you build around our existing AI service?
Yes. The review maps your service, API and data assumptions to the toy hardware, connectivity, latency and provisioning needs.
Do all AI toys need Wi-Fi?
No. Some experiences fit on-device processing, Bluetooth or preloaded content. Connectivity should follow the play pattern, not marketing language.
When should enclosure tooling start?
After the functional prototype validates acoustics, sensors, controls, power and the major architecture risks.
Can we keep the app optional?
Often, yes. Define what setup, updates, parental control and content management must work without an app before architecture approval.
How long does the first sample take?
A standard-platform sample may take roughly 7 to 14 days after requirements and files are approved. Custom tooling, electronics, firmware or complex mechanisms receive a project-specific schedule after feasibility.
Who owns the project IP and files?
Your brand, characters, artwork and content remain yours. Ownership of paid custom deliverables is defined in the signed agreement, while Chloe Toys retains its pre-existing tools, reusable technology and manufacturing know-how.
Who we build for
The brands we build for.
From connected toy startups to established names, these teams trust us with the products they put their name on.
Common question
who makes ai toys for brands
Chloe AI Toy Lab does, as the Chloe Toys property for AI, voice, sensor and connected toy systems. You describe how the toy should listen, respond, move, light up or connect, and that experience is translated into voice architecture, electronics, firmware, power, enclosure and a production plan. A sketch, character, specification or reference product is enough for a first feasibility review. Conventional plush and standalone printed products are handled by the other specialist properties.