Interfacing Integrated Management System (IMS)
Interfacing’s Integrated Management System (IMS) is an AI-powered platform that unifies BPM, QMS, Document Control, and GRC into one platform. Organizations use IMS to model and automate processes, control documents, manage risks, and maintain regulatory compliance with full traceability and audit readiness.
Built for highly regulated sectors such as aerospace, life sciences, finance, and government, IMS provides real-time visibility, automated workflows, and AI-driven insights that improve quality and reduce operational risk. The platform is ISO 27001 certified and fully validated for 21 CFR Part 11, making it suitable for mission-critical environments requiring strong governance, security, and control. IMS also includes low-code automation, process mining, audit management, training tracking, CAPA workflows, and dashboards to help teams streamline operations and continuously improve. AI strengthens governance, improves accuracy, and reinforces regulatory control.
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Zendesk
Zendesk is an AI-powered service solution that’s easy to set up, use, and scale. It works out-of-the-box and adapts quickly, enabling businesses to move faster. Built on billions of CX interactions, Zendesk AI supports the whole service journey—from self-service to agents to admins—helping teams resolve issues faster and operate efficiently at scale.
Zendesk empowers agents with tools, insights, and context to deliver personalized service on any channel—social messaging, phone, or email. It unifies personalized conversations, omnichannel case management, AI workflows, automation, and a Marketplace of 1200+ apps. Easy to implement, it frees teams from relying on IT or costly partners.
Serving over 130K global brands in 30+ languages, Zendesk simplifies business complexity to create meaningful customer connections. Headquartered in San Francisco, it operates worldwide.
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Synthetic Users
Synthetic Users is an AI-enabled user research platform that uses advanced natural language processing and large language models to generate synthetic personas that mimic real human behavior with high “synthetic organic parity,” letting teams set research goals and run virtual qualitative and quantitative studies such as in-depth interviews, concept testing, problem exploration, custom scripts, or surveys in minutes rather than weeks. It creates personality profiles for each synthetic participant and uses a multi-agent architecture to simulate dynamic, context-aware conversations and decisions that uncover product insights, helping validate ideas, optimize user journeys, prioritize roadmaps, and explore behavior across diverse audiences; users can enrich simulations with their own proprietary data to increase relevance and control representation.
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