One robot, many agents
Run a receptionist, guide, educator, or operator assistant as distinct agents inside one robot, with clear role boundaries and shared context when needed.
Xpress AI Somatic
The agent builder for robots that need to feel natural in the real world.
Create robots that speak naturally, remember context, use custom models, and coordinate multiple internal agents on-device. Xpress AI Somatic is designed for robot companies shipping customer-facing experiences, not generic chatbot demos.
What teams ship with Xpress AI Somatic
- Single robot agents or multiple specialized agents inside one robot
- Natural cloud-free interaction with Xpress agents + voice technology
- NVIDIA Jetson Thor support for edge deployments
- Custom LLMs, multilingual voice, voice cloning, video memory, and ROS integrations
Platform capabilities
Everything needed to turn a robot into an adaptive agent system
Use the same platform to control dialogue, perception, memory, device experiences, and robot behaviors.
Custom-tuned intelligence
Bring custom LLMs tuned for your tone, safety, and task boundaries so responses feel purposeful and easier to direct than a generic chatbot.
Multilingual speech + voice cloning
Deliver natural multilingual conversations and consistent branded voices across deployments, locations, and use cases.
Tablet apps built by agents
Pair spoken interaction with custom on-robot tablet experiences generated to support registration, navigation, games, forms, and guided workflows.
Video, facial recognition, and memory
Combine cameras with recognition and memory so the robot can react to returning visitors, context, and physical surroundings.
Custom ROS integrations
Connect speech and reasoning to movement, sensors, peripherals, and task-specific hardware through tailored ROS integrations.
Edge deployment support
Deploy close to the robot for lower latency, greater privacy, and more predictable performance in public environments.
Operator controls
Expose safe administrative controls so staff can mute the robot, stop motion, change modes, and update content without engineering support.
Case study
Kanaria Tech Wakko Robot for Kusatsu City Hall
For Kusatsu City Hall, Kanaria Tech used Xpress AI Somatic to create a public-facing robot that could answer questions from the city hall website, guide visitors, and stay manageable for staff on the ground.
What the deployment needed
The robot had to welcome a wide range of visitors, answer multilingual questions accurately from city hall information, provide desk guidance, keep children engaged, and remain easy for operators to control during daily operations.
What the robot delivered
- Multilingual Q&A grounded in the Kusatsu City Hall website
- Guidance to the right desk based on visitor needs
- Quiz experiences and toddler-friendly games for waiting areas
- A robot personality that felt helpful, approachable, and consistent
Operator UI controls
- Mute audio instantly when staff need silence
- Disable robot movement for safety or maintenance
- Update the knowledge base without rebuilding the whole system
- Configure modes for different contexts, audiences, or events
How teams use it
A practical stack for robot companies
1
Design the agent roles
Define whether the robot runs one tightly-scoped agent or several collaborating agents for conversation, guidance, operations, and entertainment.
2
Connect voice, perception, and control
Add multilingual voice, custom models, video understanding, memory, tablet apps, and ROS integrations around the agent layer.
3
Deploy and tune on hardware
Ship to Jetson-class hardware, observe real interactions, and keep improving the robot experience with operator controls and model steering.
Bring your robot to market faster
Talk to Xpress AI about your robot roadmap.
If you are building customer-facing, multilingual, or edge-deployed robots, we can help you design the agent architecture, multimodal stack, and operator workflow around Xpress AI Somatic.