AI-powered Simulation and Digital Twin technologies

Robotec.ai is a deep-tech company, building high-fidelity digital twins, physical-based simulation, and synthetic data that power autonomous systems and Physical AI to validate and deploy at scale.

Trusted by leaders:

One product loop for the whole automation journey

AIKROS

Operational digital twin for warehouse and logistics

What is the ROI? Where is the bottleneck? Which strategy wins? What is the throughput?
- 2D process simulator
- up to 10k x speed
- 1000 “what-ifs”
- easy UX/UI
- future-proof
Explore AIKROS
SLINGSHOT

Automated living digital twin generator

Next step in automation journey when you need full physics simulation: a SimReady 3D twin of your actual site.
- Digital Twin in 7 days
- Simulation-ready
- LiDAR
- Photos & Videos
- Living Digital Twin
Explore SLINGSHOT
RoSi

Digital twin simulation platform for Physical AI

Full physics-based simulation platform for validation and testing of autonomous systems and Physical AI.
- Isaac Sim
- Genesis
- O3DE
- Sensors simulation
- SiL
- HiL
Explore RoSi

Ways to work with us

Products
- Quick start
- Clear pricing
License our full simulation platform or simulation modules for leading sim engines (O3DE, Isaac Sim, Genesis). Fast start, your team drives.
Engineering projects
- Full adaptation
- Leading technology
- Full support
Fixed-scope SOW delivery: build the twin, custom validation, sim-to-real, train Physical AI.
Dedicated simulation teams
- Co-development
- Dedicated teams
- Integration
Robotec.ai engineers who take ownership of outcomes under your requirements & SOWs.

Explore our clients' success stories

High-Fidelity Retail Simulation for Mobile Manipulation with Qualcomm

Robotec.ai partnered with Qualcomm to build a photorealistic retail simulation for a mobile manipulator performing shelf tasks like restocking and facing. Synthetic data generation and hardware-in-the-loop validation closed the sim2real gap and confirmed real-time performance on Qualcomm edge hardware.

Build a photorealistic retail simulation for benchmarking perception, control, and learning on a mobile manipulator
Integrate open-source and proprietary simulation components across a ROS 2 stack
Generate high-quality synthetic datasets to close the sim2real gap
Validate real-time, hardware-in-the-loop execution on Qualcomm edge hardware

High-Fidelity Retail Simulation for Mobile Manipulation with Qualcomm

Read full case-study

High-performance simulation

Robotec.ai partnered with Amazon Web Services (AWS) to demonstrate how cloud-native robotics simulation can scale using Open 3D Engine (O3DE) and ROS 2. The collaboration focused on building a realistic, performant, and extensible robotics demo capable of running high-fidelity environments, multi-robot scenarios, and distributed sensor simulation at massive scale.

Demonstrate scalable robotics simulation using O3DE and ROS
Bridge game-engine rendering with ROS 2-native robotics interfaces
Enable real-time simulation of multiple robots and sensors with realistic behavior
Provide a reusable demo showcasing O3DE’s scalability, modularity, and cloud-deployment potential

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Advancing Physical AI with AMD and Liquid AI

Robotec.ai partnered with AMD and Liquid AI to develop an Edge AI Hardware-in-the-Loop (HiL) simulation combining agentic reasoning, perception, and manipulation for a mobile manipulator operating in a warehouse environment. The project aimed to fine-tune multimodal AI models and deliver embodied, closed-loop autonomy running efficiently on AMD Ryzen AI platforms.

Build a high-fidelity warehouse simulation for navigation, perception, and manipulation benchmarks
Integrate and optimize Agentic AI (RAI + VLMs) with ROS, MoveIt, and robotic control stacks
Achieve embodied autonomy capable of task sequencing, inspection, manipulation, and reporting
Deploy real-time, on-device AI inference on AMD Ryzen AI hardware

Advancing Physical AI with AMD and Liquid AI

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A new standard for open-source robotics simulation

Robotec.ai partnered with NVIDIA and Intrinsic to lead the development of a ROS 2-based standard simulation interface improving interoperability across robotics simulators. The initiative addresses fragmentation caused by diverse APIs and data formats, enabling developers to work efficiently across multiple environments without redundant engineering effort.

Standardize APIs and data structures across simulators using ROS 2 communication protocols
Improve interoperability for sensor data, robot control, and environment interactions.
Eliminate duplicated effort when transitioning between simulation tools
Provide a unified, open-source interface supported by leading industry partners

A new standard for open-source robotics simulation

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Digital Twin of Semiconductor Manufacturing for ADI

Robotec.ai partnered with Analog Devices (ADI) to deliver a digital twin of its production bay. Using the RoSi platform, ADI can validate robotic workflows, human–robot interactions, and automation efficiency in a safe, virtual environment.

Create a digital twin of Analog Devices fab manufacturing area
Enable virtual commissioning of robotic systems to avoid costly mistakes
Validate automation scenarios including robots, humans, and process flow
Optimize throughput, efficiency, and safety in semiconductor production
Reduce costs and risks of physical prototyping

Robotic arm operating inside a modern cleanroom environment with advanced laboratory equipment and bright overhead lighting.

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Advancing Autonomous Driving Simulation

Robotec.ai partnered with Tier IV to improve Autoware’s simulation realism and sensor validation using explainable AI. This collaboration enabled safer, more accurate testing and accelerated autonomous driving development