Edge Case’s products and system safety solutions are geared for customers who build autonomous systems. Whether you’re a stealth-mode startup marching toward an MVP or an established OEM facing production deadlines, Edge Case is here to help you innovate safely.
nLoop is a software platform to deliver live safety cases backed by evidence to ensure our customers can define and measure the safety of autonomous vehicles in the real world.
nLoop Customers Span the Autonomy Ecosystem
nLoop is the solution for market participants to define, measure, and assure the safety of their products.
nLoop’s “Live Safety Case” helps AV developers, operators and insurers:
- Know when AVs are safe to deploy
- Monitor system after deployment
- Assess risk
- Collect relevant parameters from simulation and on-road data
- Estimate risk posed using safety standards
- Present risk analysis to decision makers
Sample Hologram output: a trip segment is being processed through Hologram looking for weaknesses (orange) and false negatives (red) in a perception system.
Hologram complements traditional simulation and road testing of perception systems. It intelligently tests perception software against adversarial examples, which it generates from your own sensor data. Hologram identifies risks that are difficult to find with other types of testing and analysis. This shows how your perception software reacts in realistic “what if” scenarios.
Use Hologram to construct strong safety cases, comply with standards, and maximize investments in on-road testing. It helps you to coordinate key roles across autonomy development: designing and training machine learning algorithms, managing fleet deployments, and performing system-safety programs.
Hologram unlocks the value in the perception data that’s collected by your systems. It helps you find the edge cases where your perception software exhibits odd, potentially unsafe behavior. This gives you a chance to address these issues before they affect system safety and performance. The result: more robust perception.
The Switchboard stress test engine performs random, intelligent fuzzing that complies with your system’s defined interfaces. Switchboard’s novel process accelerates your ability to find and fix realistic edge case bugs before products are launched. Switchboard intelligent automation empowers development teams and eliminates concerns of testing bias. Developers simply define undesirable outcomes in Switchboard and run tests to isolate the circumstances that surround failures.