
Interfacing’s IMS is an AI-enabled platform that combines business process modeling, quality management, controlled documentation, and governance/risk capabilities in a single hub. Organizations rely on IMS to document and automate workflows, maintain versioned records, manage risk programs, and keep compliance activities aligned with regulatory requirements through full lifecycle traceability.
Developed for industries where accountability and oversight are essential, including aerospace, pharma/biotech, finance, and government, IMS delivers operational insight, workflow automation, and intelligent recommendations that help reduce risk and improve quality outcomes. The platform holds ISO 27001 certification and includes 21 CFR Part 11 validation, supporting secure use in high-compliance environments. Additional capabilities include low-code app creation, AI-based process mining, audit management, CAPA and training modules, and performance dashboards. AI improves governance accuracy, strengthens compliance posture, and supports ongoing improvement.
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Hyperproof is a compliance operations platform designed to help organizations replace reactive, manual audit prep with a continuous, well-managed program. Instead of running each regulatory framework as its own project, Hyperproof lets teams map a single control across 160-plus frameworks, so the evidence and testing already completed for one standard can count toward another, removing duplicate effort as new regulations come into scope.
For business and compliance leaders, the value shows up in measurable operational gains. Customers point to a 70% lift in overall compliance productivity, close to $150K trimmed from yearly control-orchestration costs, and a 66% drop in the duplicative control work that piles up when frameworks aren't mapped together. On average, audit prep shrinks by roughly 350 hours annually. The platform's risk register gives risk owners across the business a shared place to document risks and treatment plans, giving leadership better visibility into where the organization stands at any given time rather than reconstructing that picture ahead of every audit.
Hyperproof is also built to flex with organizational complexity, supporting companies with multiple business units or subsidiaries that need to scope compliance programs differently across entities rather than manage a single flat structure. Combined with integrations into commonly used business and IT systems, teams can keep compliance work embedded in their existing processes instead of managing it as a parallel, disconnected effort. Headquartered near Seattle and founded in 2018,
Hyperproof is the compliance platform of choice for organizations such as Reddit, Fortinet, Appian, Outreach, and Thales as they professionalize compliance operations and reduce the resourcing burden of staying audit-ready.
Best fit: compliance, risk, and operations leaders at mid-market and enterprise organizations managing regulatory complexity across multiple frameworks or business units.
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ClusterSeven
The ClusterSeven Shadow IT manager empowers you to oversee concealed spreadsheets and various data assets that may jeopardize your organization. By managing sensitive, undisclosed spreadsheets, applications, and data assets outside the purview of IT, you can mitigate potential risks. This tool allows for the swift and efficient inventorying of essential files within your organization, while also providing the ability to track modifications made by users. Consequently, this oversight supports compliance and audit obligations, ultimately safeguarding your enterprise against potential issues. Additionally, having this level of control enables proactive measures to be implemented, ensuring a more secure operational environment.
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EY Trusted AI Platform
The EY Trusted AI Platform provides organizations with critical insights into the sources and elements that contribute to risk, while also aiding AI design teams in the evaluation and quantification of these risks. By employing interactive, web-based tools for schematics and assessments, the platform creates an in-depth risk profile for any AI system. It utilizes an advanced analytical model that converts user input into a composite score, reflecting the technical risk, impact on stakeholders, and the effectiveness of controls surrounding the AI system. In assessing technical risk, the platform scrutinizes the AI system's design, considering various risk drivers such as the technologies involved, the operational context, and the autonomy level of the system. Furthermore, when evaluating stakeholder risk, it takes into account the objectives set for the AI, alongside the financial, emotional, and physical impacts on both internal and external users, as well as potential reputational, regulatory, and legal issues that may emerge. This thorough methodology not only ensures that every aspect of risk is examined but also facilitates informed decision-making for organizations navigating AI implementation challenges. Consequently, the platform stands as a pivotal resource in enhancing the overall safety and efficacy of AI solutions.
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