AI Live Sim
A complete workflow
from simulation to validation
AILiveSim is a simulation platform to create realistic environments, configure multi-sensor setups (cameras,
LiDAR, radar, etc.), and run automated tests at scale. Local or cloud-based platform, AILive is a modular tool,
designed to speed up development while cutting costs related to data collection, labelling, and physical trials.
Test and iterate in realistic environments
Accelerate innovation with a dynamic and realistic environment for testing
and validating AI models.
Test and iterate in realistic environments
Scale your AI projects with high-volume simulations, enabling faster, broader, and more reliable validation.
Generate synthetic data for more reliable model training
Efficient data and powerful AI models with automated pipelines. Streamline generation, augmentation, and management of synthetic data for
robust training and evaluation.
From scenario creation to analysis in one
automated workflow
A full suite of editors that allow precise control
yet minimize manual work with automation
Create scenarios
Dynamically iterate and refine
testing scenarios.
Automate
Generate data efficiently and manage data pipelines.
Simulate
Collect the data for offline processing with your algorithms in the loop
Analyse
Use statistics and replays to find pinpoint weaknesses
Digital Twin
Camera, Infrared camera, LiDAR, Radar
Advanced Sensor Simulation
Simulate, configure, and validate LiDAR, radar, camera, and other sensor setups with accurate physics and real-time performance inside a unified development workflow.
Explore Sensors
Who AILiveSim is Built For?
AILiveSim is built for teams developing sensor-based AI systems
for complex, real-world environments:
AI/ML Engineers & Data Scientists
Technical experts building and training AI models based on sensor data.
Goal:Improve model performance, robustness, and accuracy through real-world-like testing.
Defense, Maritime and Mobility
From ships to aircrafts, AILiveSim helps validate AI in the toughest conditions.
Goal:Safely test and optimize AI-driven solutions for real-world environments.
Product Owners & Managers
Professionals responsible for planning, strategy, and product success of autonomous systems.
Goal:Deliver high-quality AI products on time and within scope.
Teams Seeking Speed & Realism
Startups or agile teams focused on rapid development and validation.
Goal:Validate ideas quickly and reduce time-to-market with confidence.
Choose the deployment model
that matches your workflow
Compatible with full multi-sensor simulation stackCloud Simulation
Simulate at scale on the cloud: order the creation of millions of samples based on your specification, monitor and get the results - (pay per use)
Integrate value block to your pipelines: access simulation seamlessly by integrating key functions to your MLOps or CI/CD - (pay as you go)
Local Simulation
Custom deployments: make your own custom deployment locally on your private clouds (pay per license)
Why AILiveSim works for
complex AI development
AILiveSim 2.0 is a flexible, scalable simulation platform built
to accelerate AI development across industries.
Cut Costs & Save Time
Reduce expenses tied to data collection and manual labelling, and shorten development cycles with intelligent, automated testing.
Boost Data Quality
Ensure balanced datasets through automated scenario generation. Eliminate human bias with systematic simulations, resulting in better performing autonomous systems.
Stay Flexible & Scalable
Use cloud resources on a pay-as-you-go model, and easily integrate AILiveSim into your CI/CD pipelines for seamless testing and deployment.
Intelligent System Testing
Explore AI System Testing and Validation
Stop chasing bugs after deployment. AILiveSim transforms manual, inconsistent testing into intelligent, automated validation that runs continuously in your CI/CD pipeline. Uncover hidden weaknesses, achieve comprehensive test coverage, and build AI systems people actually trust, all while your team focuses on innovation, not repetitive testing.
Resources
Explore Our Latest Insights
Stay informed with our expert articles and updates.
Article
What Has to Be Inside an Airport Digital Twin Before It Is Worth Anything
What an airport digital twin must contain before it is worth anything: rare surface conditions, four time-aligned sensors, automatic labelling, and procedural generation that extends to your airport.
AILiveSim
August 10, 2026 • 4 min read
Article
Counter-Drone Detection: Why Precision Fails Before Recall Does
Why counter-drone detection fails on precision before recall: negative-class coverage by sensor channel, and scoring threats neutralized alongside friendlies preserved on repeatable, configurable drone waves.
AILiveSim
August 10, 2026 • 4 min read
Article
Swarm Defense Testing: Measuring Intercepts, Not Detections
Why no volume of captured data validates swarm defense: adversarial scenarios generated live around the system under test, scored as intercepts achieved versus hits on the protected vessel across repeatable, parameterizable waves.
AILiveSim
August 10, 2026 • 4 min read
Article
Have You Tested Enough? Intelligent System Testing and the Coverage Problem
Test volume measures effort, not proof. How Intelligent System Testing samples scenarios adaptively to map where an autonomous system works, where it fails, and which combination of conditions moves it from one to the other.
AILiveSim
August 10, 2026 • 4 min read
Start building and validating AI systems faster
By navigating on this site you agree that we use only minimal cookies required for this site to function. We do not monetize your data.