Large-scale testing

Automate advanced driver-assistance systems (ADAS) and automated driving (AD) simulation to accelerate time to market.
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“The Applied Intuition team has demonstrated their expertise and has equipped us with tools to accelerate the safe development of commercial trucks in a financially viable way.”
Michael Fleming
Founder and Board Member

Customer challenge

ADAS and AD software requires rigorous testing to find thousands of edge cases and prevent critical regressions.
System and integration testing are needed
Physical testing is not sufficiently scalable
Teams need to find and fix issues quickly

Applied Intuition’s solution

Applied Intuition’s large-scale testing solution allows teams to accelerate scenario-based testing with cloud simulation.
Run thousands of tests in parallel
Configure various test suites
Analyze terabytes (TBs) of test data
Identify issues and resolve them rapidly

Orchestrate a scalable testing pipeline

01

Create scenarios

Define and generate scenarios at scale using GUI tools, parameter-based approaches, or natural language. Test specific features, integrations, or system-level functionalities.
02

Automate testing

Integrate different test suites with your build pipelines. Generate build images and trigger tests automatically.
03

Execute tests in parallel

Use a Kubernetes backend to execute thousands of tests in parallel. Run deterministic simulations in the cloud. Utilize cloud architecture (AWS, Azure, GCP, or on-premises) to scale nodes and save simulation output.
04

Resolve issues

Analyze TBs of test data with a web-based frontend. Investigate issues, compare stack changes, and view simulation performance side-by-side to uncover regressions.
05

Track progress

Track overall performance and create custom dashboards for program-level analysis. Enable cross-team collaboration with link sharing, failure triage, and issue tracking.

Orchestrate a scalable testing pipeline

01

Create scenarios

Define and generate scenarios at scale using GUI tools, parameter-based approaches, or natural language. Test specific features, integrations, or system-level functionalities.
02

Automate testing

Integrate different test suites with your build pipelines. Generate build images and trigger tests automatically.
03

Execute tests in parallel

Use a Kubernetes backend to execute thousands of tests in parallel. Run deterministic simulations in the cloud. Utilize cloud architecture (AWS, Azure, GCP, or on-premises) to scale nodes and save simulation output.
04

Resolve issues

Analyze TBs of test data with a web-based frontend. Investigate issues, compare stack changes, and view simulation performance side-by-side to uncover regressions.
05

Track progress

Track overall performance and create custom dashboards for program-level analysis. Enable cross-team collaboration with link sharing, failure triage, and issue tracking.

Reach your milestones faster

Scale testing exponentially

Discover and resolve issues faster to deliver reliable software.

Empower your team

Enable effective teamwork through cloud collaboration.

Save validation resources

Use simulation at scale to decrease costs compared to other test methods.

Frequently asked questions

What constitutes large-scale testing in the context of ADAS and AD development?
How does large-scale testing contribute to the reliability of ADAS and AD systems?
How does cloud technology facilitate large-scale testing in ADAS and AD development?
How can development teams ensure comprehensive coverage through large-scale testing processes?
How can large-scale testing accelerate the development timeline for ADAS and AD technologies?

Get started with large-scale testing

Learn how to automate testing to accelerate ADAS and AD development.
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