Touchplan vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
Bootstrapped; $550-1,250/month pricing; 23% annual revenue growth 2021; 210% activity increase; founded 1999; cloud-based construction planning leader
About
Touchplan is a lean construction planning and scheduling platform founded in 1999 that digitizes the Last Planner System methodology — a collaborative, commitment-based scheduling framework developed by construction management researchers Glenn Ballard and Greg Howell. The company was built on the premise that traditional Gantt-chart-based scheduling produces plans that diverge from reality almost immediately on active construction sites, and that reliable workflow requires frontline foremen and trade partners to make and track explicit weekly work commitments. Touchplan translates these analog planning practices — which relied on sticky notes on whiteboards — into a cloud-based collaborative environment accessible from any device on or off the jobsite.\n\nTouchplan's platform enables general contractors and owners to run pull planning sessions, manage lookahead schedules, track percent plan complete (PPC) metrics, and analyze constraint removal across all trades on a project. The software integrates with project management platforms including Procore and supports multi-stakeholder collaboration without requiring all participants to maintain separate licensed accounts. Pricing ranges from $550 to $1,250 per month per project, positioning Touchplan as accessible for mid-size commercial contractors without the enterprise overhead of full project controls software.\n\nTouchplan has grown steadily on a bootstrapped basis, reporting 23% annual revenue growth and a 210% increase in platform activity year over year — metrics that reflect organic expansion within the lean construction community rather than venture-backed growth marketing. The company has built a loyal user base among contractors who have adopted Last Planner as a standard operating methodology, and it benefits from the growing recognition that collaborative planning reduces rework and schedule overruns on complex commercial and industrial projects. Touchplan competes in a niche where its methodology-first positioning differentiates it from broader construction management platforms.
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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