Hyperproof is a governance, risk, and compliance platform built for organizations that juggle multiple regulatory frameworks. Rather than treating each standard as a separate project, Hyperproof maps a single set of controls across 160+ frameworks, including SOC 2, ISO 27001, HIPAA, and NIST, so evidence gathered once can satisfy multiple audits without duplicate work. Purpose-built AI agents surface relevant evidence, validate controls, and flag compliance gaps automatically, cutting down the manual review that typically eats up a compliance team's week.
The platform connects directly to the tools IT and security teams already use — including GitHub, Jira, ServiceNow, Snyk, CrowdStrike, MongoDB Atlas, Google Workspace, and Microsoft SharePoint — and pulls evidence into Hyperproof, eliminating the need for teams to chase it down manually. High-frequency controls can be tested on a recurring schedule, with failures automatically generating tasks and escalations so nothing slips through the cracks between audit cycles. A built-in risk register lets risk owners across departments document risk treatment plans and tie them directly to the controls that address them.
Hyperproof also supports organizations with complex structures, letting larger companies scope controls to specific business units, subsidiaries, or entities rather than forcing everything into one flat compliance program. Customers report meaningful results from this approach: a 70% increase in compliance productivity, roughly $150,000 in annual savings on control orchestration, a 66% cut in duplicative controls, and about 350 fewer hours spent on audit preparation each year. Founded in 2018 and based in the Seattle area, Hyperproof works with organizations like Reddit, Fortinet, Appian, Outreach, and Thales as they move from reactive, spreadsheet-driven compliance to a continuous, audit-ready operating model.
Best fit: IT, security, and compliance teams at growing technology companies that manage multiple frameworks simultaneously and want to reduce the manual overhead of audit prep.
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Ansys RaptorH
Ansys RaptorH is an electromagnetic modeling software with capacity to model power grids, full custom blocks, spiral inductors, and clock trees. Its high-speed distributed processing delivers accurate, silicon-proven S-parameter and RLCk models. RaptorH can analyze partial and unfinished layouts during the design phase and makes it easy to use either the general purpose HFSS engine or the silicon-optimized RaptorX engine for silicon structures. Ansys RaptorH extracts electromagnetic models at the pre-LVS stage for arbitrary routing and layout, including planes (solid or perforated), round shapes, spiral inductors, and MiM/MoM capacitors - with automatic setting of boundary conditions. The GUI allows point-and-click net selection and what-if analyses. RaptorH is supported by all major silicon foundries and can read encrypted technology files to set up analyses with either the HFSS or the Raptor engine.
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