FYLD vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI frontline intelligence platform reducing serious workplace injuries up to 48%. Serves Kiewit, Quanta, Ferrovial. $41M Series B (Feb 2026). 82% YoY growth. Founded 2020, London.
About
FYLD is an AI frontline intelligence platform focused on workforce safety and field operations for utility, construction, and infrastructure sectors. The company was founded to address a persistent challenge in field-intensive industries: frontline workers face significant safety risks in dynamic, unstructured environments, yet the data needed to identify and mitigate those risks — what crews are doing, what hazards are present, how procedures are being followed — was largely invisible to management until an incident occurred. FYLD's mission is to make field intelligence continuous, predictive, and actionable before injuries happen.\n\nThe platform uses computer vision, AI risk scoring, and mobile-first workflows to capture field conditions in real time through worker-submitted videos and digital job briefings. FYLD's AI engine analyzes each submission for hazard indicators, flags high-risk conditions for supervisor review, and recommends mitigations. The system generates continuous risk scoring across the entire workforce portfolio, giving safety and operations managers a live view of where serious injury potential is elevated. FYLD serves major infrastructure contractors including Kiewit, Quanta Services, and Ferrovial, companies that collectively employ tens of thousands of field workers across high-hazard environments including electrical transmission, pipeline, and civil construction.\n\nFYLD raised a $41 million Series B in February 2026 and has demonstrated 82% year-over-year growth, with documented evidence of reducing serious workplace injuries by up to 48% at customer sites. The company's ability to translate AI-generated risk data into measurable safety outcomes — and to express that impact in terms insurance underwriters and operations executives respond to — is a key commercial differentiator in the emerging AI-for-frontline-safety market.
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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