Vertical AI

Intelligent Automation

Embodied-AI development platform for robots

Overview

A full-stack embodied-intelligence development platform — built with NVIDIA — that covers the whole chain from multimodal data acquisition through Isaac Sim simulation, reinforcement-learning training and real-world deployment.

Intelligent Automation is anchored on the OmniBot embodied-robot development pattern. It pairs a high-performance GPU compute base with an integrated toolchain — OmniData for data, OmniTrain for simulation and policy, OmniMaaS for model lifecycle, and OmniOps for runtime and deploy — so teams can move from quad-ped, manipulator or full humanoid concepts to production robots in a fraction of the traditional cycle.

60%
Development-cycle reduction
Isaac Sim + Lab
Training sim engines
3
Robot types supported
4 modules
Pipeline stages

What you get

High-performance compute base

Multiple GPU configurations with intelligent scheduling and acceleration services — optimised for generative AI, cloud rendering, deep learning and robot-training workloads at high concurrency.

Full-chain development support

Covers multimodal data acquisition, semantic retrieval and unstructured-data parallel compute across the whole pipeline — training, simulation, deployment and operations.

High-fidelity simulation

Integrates NVIDIA Isaac Sim and Isaac Lab for scene reconstruction, expert-trajectory replay and evaluation visualisation — train policies in simulation and evaluate reliability before deploy.

OmniData pipeline

Data acquisition bus with dataset management, parallel processing and human-in-the-loop review — the clean, labelled data backbone every embodied-AI team needs.

OmniTrain & OmniMaaS

Simulation-based synthetic-data generation, soft & hard closed-loop testing, policy evaluation, then model training, evaluation, management and inference on one platform.

Physics & multimodal fusion

Physics-simulation engine handles gravity, friction and contact; a multimodal-perception toolchain fuses vision, audio and tactile sensors into a unified state representation.

Benefits

Move from preset models to environment-aware, responsive control
Apply lifetime-learning frameworks with adaptive parameter optimisation
Train in simulation, fine-tune with small real samples, optimise continuously in the cloud
Cut the embodied-AI R&D chain from months to weeks
Standardise data, training and deploy across quad-peds, arms and humanoids

Built on

NVIDIA Isaac Sim
NVIDIA Isaac Lab
OmniData
OmniTrain
OmniMaaS
OmniOps
RL toolchain
Our managed GPU cloud

Talk to our Intelligent Automation team

Discuss your requirements with a intelligent automation specialist.