“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, Torc ROBOTICS
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.
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.
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.
Track overall performance and create custom dashboards for program-level analysis. Enable cross-team collaboration with link sharing, failure triage, and issue tracking.
Define and generate scenarios at scale using GUI tools, parameter-based approaches, or natural language. Test specific features, integrations, or system-level functionalities.
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.
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.
Track overall performance and create custom dashboards for program-level analysis. Enable cross-team collaboration with link sharing, failure triage, and issue tracking.