Swif.ai operates a unified device management platform covering Windows, Mac, and Linux with real-time compliance monitoring and policy enforcement. The engineering-heavy org (8 of 11 headcount) is building AI-driven backend systems and browser extension capabilities while simultaneously scaling outbound sales—a hiring mix that signals product-market fit validation paired with early go-to-market expansion. Active pain points around lead generation and sales operations velocity suggest GTM is the current constraint, not engineering capacity.
Swif.ai provides unified endpoint management and device compliance for enterprise IT and vCISO teams. The platform consolidates Windows MDM, Apple MDM, and Linux administration into a single interface, automating policy enforcement, patch management, vulnerability detection, and compliance reporting against SOC 2, ISO 27001, and HIPAA standards. Core capabilities include remote monitoring, remote desktop access, live terminal shells, and a browser extension for securing remote user access. The Compliance Dashboard provides real-time alerts and audit-ready evidence; Smart Groups enable device segmentation by department or risk profile; an MSP Portal supports multi-tenant administration. Founded in 2022, the company operates from Sunnyvale with 11–50 employees and hires across engineering, sales, and security roles in the United States and Asia-Pacific regions.
Windows, macOS, and Linux. The platform consolidates management of all three operating systems in a single interface, eliminating the need for separate MDM tools.
SOC 2, ISO 27001, and HIPAA. The Compliance Dashboard provides real-time reporting and audit-ready evidence to streamline certification and compliance benchmarking.
Yes. The platform includes remote monitoring, remote desktop access, and live terminal shells for endpoint administration, plus a browser extension to secure site access for remote users.
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Swif.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.