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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Certainty Software
Certainty is an enterprise-level auditing and inspection software that can be trusted to help you manage and report on business risk, compliance, and performance metrics quickly and efficiently.
Certainty Software is used by hundreds of thousands of professionals to complete millions of inspections and audits each year. It provides all the tools you need to collect, collate, and report consistent, accurate, and meaningful metrics across your business.
Certainty provides all the tools you need to design, manage, and report on audit/inspection data, as well as help you manage and mitigate any risks, incidents, and issues that may be identified during the audit/inspection process.
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SimplerQMS
SimplerQMS is an expert-driven electronic Quality Management System (eQMS) purpose-built for Life Science organizations. Our eQMS is designed by professionals with deep industry experience and supports compliance with FDA, ISO, and GxP requirements through automated, audit-ready quality processes.
The platform centralizes and automates core quality workflows within a cloud-based, fully validated system. Customers benefit from reduced manual work, fewer errors, and consistently organized, inspection-ready records.
Unlike generic QMS tools, SimplerQMS comes pre-configured for Life Science needs, with built-in templates, workflows, and controls aligned with FDA 21 CFR Part 11, 210/211, 820, EU Annex 11, ISO 13485:2016, and other applicable standards.
Beyond software, customers gain a trusted partner backed by deep regulatory and quality expertise. This includes:
• Audit-proven insights
• Guidance from compliance specialists
• Continuous system validation
• User training
• 24/7 global support
• Smooth implementation and data migration
• Dedicated Customer Success Experts
With a mission to help Life Science companies manage quality and regulatory documentation efficiently, SimplerQMS supports organizations from early-stage growth to global scale to strengthen compliance, operational control, and quality culture.
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Denki
Denki is an innovative platform driven by AI, aimed at streamlining internal auditing and compliance efforts for organizations, especially those in the public sector that adhere to stringent financial regulations. Acting as a software interface, it seamlessly integrates with various enterprise systems like ERP solutions, audit applications, and workflow management tools, enabling internal audit teams to shift away from labor-intensive, manual processes. By eliminating the need for spreadsheets, scattered screenshots, and disjointed documentation, Denki leverages artificial intelligence to automate integral phases of the audit workflow, such as control mapping, testing protocols, conducting walkthrough interviews, and gathering necessary supporting evidence. It consistently collects data from connected business systems, scrutinizes financial and operational records, and autonomously produces audit documentation that auditors can efficiently review and validate. Furthermore, this approach not only enhances accuracy but also significantly reduces the time required to complete audits, allowing teams to focus on strategic analysis rather than routine tasks.
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