4.6 out of 5 stars
(152 Ratings)
Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software.
A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.
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4.6 out of 5 stars
(354 Ratings)
Compliance work eats engineering time. Hyperproof exists to give that time back by automating the parts of GRC that don't need a human: pulling evidence out of GitHub, Jira, ServiceNow, Snyk, and cloud storage on a schedule, running recurring tests against high-frequency controls, and kicking off a task automatically the moment something fails instead of waiting for the next audit cycle to find out.
Under the hood, Hyperproof maps one control to 160+ frameworks (SOC 2, ISO 27001, HIPAA, NIST, and others), so a control tested once can satisfy several standards instead of forcing teams to rebuild the same work per framework. AI agents handle the first pass on evidence review and gap-flagging, leaving humans to make the actual judgment calls rather than hunting down documentation.
Teams using it report cutting audit prep by roughly 350 hours a year, a 66% drop in duplicate controls, and about $150K saved annually on control orchestration. It also scales to messier org charts, with the ability to scope controls by business unit or entity instead of flattening everything into one program.
Built in 2018 out of the Seattle area, Hyperproof is used by engineering and security-heavy orgs like Reddit, Fortinet, Appian, and Outreach that are tired of treating compliance as a manual, spreadsheet and email process and want it to run more like the rest of their infrastructure: automated, monitored, and auditable.
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AutoRaptor CRM
4.8 out of 5 stars
(42 Ratings)
Boost your dealership's sales potential with AutoRaptor, the most user-friendly yet robust automotive CRM available today. This innovative platform equips dealerships with state-of-the-art productivity and automation features, allowing your team to engage with leads quickly and transform them into dedicated customers. Our all-encompassing CRM solution is designed to enhance your marketing efforts, improve communication efficiency, and foster customer loyalty. With smooth integration into your current systems and exceptional support from leading training professionals in the industry, AutoRaptor guarantees that you will maintain a competitive edge. Experience the unique blend of power and ease that AutoRaptor offers—book a demo now and explore how we can propel your dealership toward greater success while also improving your overall operational efficiency.
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Ansys RaptorH
Ansys RaptorH is a sophisticated electromagnetic modeling tool that excels in simulating power grids, entirely custom blocks, spiral inductors, and clock tree structures. It employs high-speed distributed processing to generate precise, silicon-validated S-parameter and RLCk models. One of its standout features is the ability to analyze partial or incomplete layouts during the design process, offering users the flexibility to utilize either the versatile HFSS engine or the specialized RaptorX engine optimized for silicon applications. Additionally, Ansys RaptorH extracts electromagnetic models even at the pre-LVS stage for various routing and layout designs, including solid or perforated planes, circular shapes, spiral inductors, and MiM/MoM capacitors, all while automatically configuring boundary conditions. Its user-friendly graphical interface facilitates point-and-click net selection and enables what-if scenarios for better design insights. Moreover, RaptorH is fully compatible with all leading silicon foundries and supports encrypted technology files, ensuring seamless setup for analyses using either the HFSS or Raptor engines. This comprehensive integration not only streamlines the design workflow but also enhances the accuracy of electromagnetic simulations significantly.
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