We deliver the promise of autonomy.
We enable our customers to assure the safety of autonomous systems for real world deployment. Our products deliver live safety cases backed by evidence to ensure our customers can define and measure the safety of autonomous systems in the real world.
Traditional engineering methods are necessary, but not sufficient, for achieving safe autonomy. We help our customers succeed with a safety case approach that uses appropriate standards, metrics, and best practices to be ready to field.
Use best practices from safety-critical industries to build a safety case that argues clearly why your product is safe, and backs that argument up with evidence.
Continuously analyze what safety hazards your product needs to prevent and how these hazards might occur. These analyses serve as a basis for improving your product.
Validating autonomy is a serious challenge. So build your product to make validation more efficient, and then lay out a clear plan to identify and mitigate both known problems and unknown edge cases.
nLoop is the live safety case platform that defines, measures, and assures the safety of autonomous systems in the real world. nLoop is for knowing when systems are safe to deploy, monitoring systems after deployment, and assessing risk.
What scenarios cause trouble for your deep-learning perception algorithms? Where are your training data gaps? Hologram is a powerful enterprise analytics platform that unlocks the value of petabytes of recorded road data, accelerates the development of safer perception software.