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smAiT

platform // field os

One platform.
Every robot.

The robot is the body. The platform is the intelligence. smAiT runs perception, reasoning, fleet operations, and human oversight as one continuous system, from a single robot in a lobby to fleets across sites.

Start a pilot →See it in the field

The stack

Five layers, zero gaps.

From the floor a robot rolls on to the dashboard an operator watches, every layer is designed together, and secured together. Inspect each layer below.

The tools to run robotic workforces at scale, from one robot to many sites.

  • Fleet management
  • Robot telemetry
  • AI behavior updates
  • OTA software updates
  • Predictive maintenance
  • Map & knowledge management
  • Security & access control
  • Data analytics
  • Cloud AI services

The continuous loop

Perceive. Decide. Act. Learn.

Phase 01

Perceive

Cameras, LiDAR, and microphones fused into a live semantic picture of the space, who is here, what is happening, what changed.

Phase 02

Decide

Vision-language models and task planners turn goals and context into safe, explainable next actions.

Phase 03

Act

Navigation, manipulation, speech, and on-screen service, executed within hard safety envelopes.

Phase 04

Learn

Every shift feeds fleet learning, what one robot encounters on the floor, the whole fleet learns.

Phase 05

Improve

Better behavior ships over the air, robot by robot, site by site. The fleet gets measurably better while it works.

Cloud platform

Run the fleet like infrastructure.

Fleet management[01]

One console for every robot, every site

Robot telemetry[02]

Live state, health, and task progress

AI behavior updates[03]

New skills shipped like software

OTA software updates[04]

Signed, staged, reversible

Predictive maintenance[05]

Fix it before it fails

Map & knowledge management[06]

Spaces, semantics, and rules

Security & access control[07]

Identity-based, least-privilege

Data analytics[08]

Operational numbers, not vanity metrics

Cloud AI services[09]

Heavy reasoning when the edge needs help

The live fleet console, every robot, every task, one screen. Humans stay in the loop.

Intelligence layer

Embodied AI for human spaces.

Vision-language models grounded in the physical world: robots that understand what they see, follow what people mean, and reason about what to do next, in spaces built for humans, not warehouses.

  • 01Navigation & SLAM
  • 02Sensor fusion
  • 03Visual understanding
  • 04Language understanding
  • 05Semantic scene understanding
  • 06Intent interpretation
  • 07Context awareness
  • 08Task planning & reasoning
  • 09Human interaction models

Foundation technologies

Standing on trusted ground.

ROS 2

Robotics framework

NVIDIA Jetson

Edge AI compute

Google Cloud

AI & data infrastructure

End-to-end cybersecurity

Zero-trust by default

Digital twin simulation

Test in sim, deploy with confidence

Fleet learning

Continuous improvement loop

See the stack running.

Request a demo →Explore solutions