Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The validation of automated vehicles can be quite challenging. To test and validate an Autonomous Driving / Advanced Driver Assistance System (AD/ADAS), its performance needs to be tested in different test systems like Software-in-the-Loop (SiL) or Hardware-in-the-Loop (HiL) environments. This needs to be done for a large number of scenarios. Each of these scenarios contains millions of possible variations and has to be tested for every function update. This invariably leads to a significant inflation of testing expenditures due to enormous resource demands.
Intelligent test automation is needed to test thousands of scenario variations as conventional testing strategies become impossible and too resource intense.
Show the rest of the publisher’s description (4 more lines)
We have developed IAV Valdivia Sample to test autonomous driving (AD) functions more efficiently and comprehensively using machine learning (ML) methods. It helps you to identify the really relevant test scenarios from millions of possible test cases in a cost efficient and traceable way. It intelligently automates parameter variation and enables fast identification of relevant scenarios while ensuring high transparency and reliability. For an easy analysis and comprehensive understanding of the AD function behavior, Valdivia Sample shows testing results in various interactive dashboards. These dashboards provide invaluable information for the improvement of your driving functions.
Valdivia Sample is a crucial building block for data-driven validation and supports evidence-based release argumentations. Implementations with leading test management and automation tools such as tracetronic Test.Guide are in the works.
<b><i>Notice Regarding Use in the United States</i></b><br>
<i>Please note that our standard License Terms do not permit the use of this software within the United States of America. If your company is based in the U.S. or you intend to use the software in the U.S., please contact IAV directly before concluding any agreement. We will work with you to establish the appropriate conditions for compliant usage.</i>
Highlights
Highlighted by the publisher on AWS Marketplace.
Cost efficiency - Reduce testing efforts by up to 80%
Modular architecture - Quickly integrate Valdivia Sample into existing toolchains via API
Comprehensive analysis - Our dashboard offers various methods to intelligently visualize the system behavior and accelerate debugging or performance updates
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
5 listed- Units
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Refund terms
As stated by the publisher on AWS Marketplace.
In case of a potential refund case please contact valdivia@iav.com.
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.