FieldNation vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
Field Technician Marketplace & Work Order Platform
FieldNation raised $80M+ for an on-demand marketplace connecting enterprises and MSPs with 130,000+ independent field technicians for IT installation and service work (Minneapolis MN).
About
FieldNation is an on-demand marketplace and work order management platform that connects enterprises, system integrators, and managed service providers with a network of more than 130,000 independent field technicians for technology installation, maintenance, and service work across the United States and internationally. Founded in 2008 and headquartered in Minneapolis, Minnesota, FieldNation has raised more than $80 million and established a leading position in the contingent IT field services market, processing millions of field service work orders annually. The platform enables companies to staff technology deployment projects, retail technology rollouts, and ongoing maintenance programs with qualified on-demand technicians without building a large internal field service workforce.\n\nFieldNation's marketplace allows buyers — companies needing field service work completed — to post work orders with location, skillset requirements, timing, and payment rate, and receive applications from qualified technicians in their network. Technician profiles include certifications (CompTIA, OEM product certifications), work history, ratings, and background check status, allowing buyers to evaluate and select technicians with confidence. Work order management tools track assignments, check-ins, deliverables, and payment processing for every job, providing documentation and accountability across thousands of concurrent field service engagements. Analytics dashboards give program managers visibility into technician performance, SLA adherence, and spend across large field programs.\n\nFieldNation competes with WorkMarket (ADP), Workforce Logic, and Gigplex in the contingent field services marketplace. Its large technician network, technology-specific skills focus, and work order management platform give it strong positioning for IT deployment and managed services companies that need reliable field coverage across hundreds or thousands of locations without permanent regional staff.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
About
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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