IT staffing, consulting, and custom software development for enterprise clients
iFlow Inc operates as a services-led technology consulting firm spanning staffing, business advisory, and custom software development. The tech stack reveals a heavy enterprise systems footprint—Okta, Azure, Intune, JAMF, ServiceNow—paired with embedded systems engineering tools (Cadence, Mentor Graphics, SystemVerilog, UVM), indicating clients in regulated industries (aerospace, energy, telecom). Current project velocity centers on cloud migration, device fleet management, and energy systems—consistent with large-scale IT operations modernization and compliance-driven deployments.
iFlow Inc serves Fortune 500 and mid-market organizations across staffing, management consulting, and custom software development. Founded in 2015, the company operates from McKinney, Texas with 51–200 employees. Service lines include IT and non-IT staffing (contract-to-hire, executive search, RPO), business consulting, and end-to-end software delivery. Active work spans Azure cloud migrations, endpoint device management (Windows Autopilot, Apple DEP), energy management SCADA systems, and crew alerting logic for aerospace or maritime environments. Pain points center on scaling IT operations across distributed sites, cloud infrastructure consolidation, device compliance, and third-party risk.
iFlow uses enterprise identity and management tools (Okta, Azure AD, JAMF, Intune), IT service platforms (ServiceNow, Jira Service Management), cloud infrastructure (Azure, Terraform), and embedded systems design tools (Cadence, Mentor Graphics, SystemVerilog, UVM) alongside conventional development languages (Python, Java, C++, Perl, Ruby, PHP).
Active projects include on-premises to Azure cloud migration, endpoint management strategy and Autopilot/Apple DEP enrollment workflows, energy management SCADA customization, crew alerting software, deployment testing automation, and ML-based runtime power modeling.
iFlow Inc.'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.