Bespoke voice customization

Customvoice interactionfor robotics

Your voice-AI development partner for robotics — we build and deploy custom on-device speech, wake words, TTS and dialogue logic, natively on your robot's silicon.

<100ms
command latency
100%
on-device · offline
5+
edge silicon targets
jetson
NVIDIA Jetson
deployed
NVIDIA Jetson
Orin · TensorRT
qualcomm
Qualcomm
deployed
Qualcomm
RB5 · SNPE
rockchip
Rockchip
deployed
Rockchip
RK3588 · RKNN
edge-tpu
Edge TPU / NPU
deployed
Edge TPU / NPU
TFLite · ONNX
Our services

End-to-end voice AI development & deployment

A specialized engineering team dedicated to robot manufacturers. We do the heavy lifting of building, customizing, and deploying the voice brain for your hardware.

01

Voice model customization

We train bespoke acoustic models, unique wake words, and custom TTS voices specific to your robot's localized persona and background-noise environment.

02

Dialogue logic architecture

Our engineers script complex, multi-turn behavioral state machines that give your robot deep context awareness, intent recognition, and natural conversational flow.

03

Edge model deployment

We quantize and compile advanced LLMs and voice models to run 100% offline on your edge silicon — Jetson, Rockchip, Qualcomm — delivering ultra-low latency.

04

Full-stack system integration

We don't leave you with a generic API. We provide end-to-end OS integration, porting our voice middleware directly into your hardware's software stack.

Core capabilities

Built for production robots

Purpose-built middleware bridging the gap between raw hardware capabilities and natural conversational experiences.

01

Ultra-low latency

Response times optimized for natural human-robot conversation, eliminating awkward pauses.

02

100% offline capable

Full voice recognition and synthesis handled on the edge. No internet required. Complete reliability.

03

Complex interaction logic

Multi-turn conversations, context awareness, intent recognition, and emotion detection built in.

04

Edge hardware optimized

Deeply optimized for your specific silicon — Jetson, Rockchip, Qualcomm, or custom NPU.

05

Data privacy native

Audio never leaves the device unless explicitly requested. Enterprise-grade compliance by default.

06

Whitelabel customization

Custom wake words, unique voice personas, and deep API integration into your robot's OS.

Device-native stack

Built for the edge

We bridge the gap between heavy AI models and constrained robot hardware. Our models are quantized, pruned, and compiled specifically for your target silicon — maximum throughput, minimal power draw.

Model compression

Int8 quantization and structural pruning tailored for mobile neural processing units.

Hybrid cloud fallback

Stay 100% edge-first, but seamlessly route complex unstructured queries to the cloud when needed.

Supported silicon

4 platforms
NVIDIA Jetson
NVIDIA Jetson
Orin / Nano · TensorRT
Qualcomm
Qualcomm
Robotics RB5 · SNPE
Rockchip
Rockchip
RK3588 / RV1126 · RKNN
Edge TPU / NPU
Edge TPU / NPU
TFLite / ONNX Runtime
Tailored solutions

Engineered for your robot

We don't do generic APIs. Every deployment is a custom integration engineered for your specific robot morphology and use case.

Companion & service robots

Companion & service robots

  • Empathetic tone synthesis
  • Child / elderly voice recognition
  • Ambient noise cancellation
  • Continuous listening mode
Industrial & warehouse

Industrial & warehouse

  • Extreme noise robustness
  • Hardhat / PPE acoustic models
  • Command latency < 100ms
  • Custom domain vocabulary

Ready to give your robots a superior voice?

Stop relying on generic cloud APIs. Partner with our engineering team to build a custom, low-latency, localized voice brain for your next robot product line.

Get in touch

Let's scope your voice deployment

Tell us about your robot and your constraints. We'll come back with a tailored plan for models, dialogue logic, and on-device deployment — usually within two business days.

Email our engineers
Helpful to include
  • Your target edge silicon and form factor
  • Languages, wake words, and personas you need
  • Latency, offline, and privacy requirements