Roofr vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
Roofing Estimating & Proposal Platform
Roofr raised $23M+ for instant aerial roof measurement and proposal software, letting roofing contractors deliver accurate estimates faster than any manual method (San Francisco, 2016).
About
Roofr is a roofing estimating and proposal platform that provides instant roof measurements from aerial imagery combined with professional proposal creation tools, enabling roofing contractors to deliver accurate estimates and polished proposals to homeowners more quickly and professionally than traditional methods allow. Founded in 2016 and headquartered in San Francisco, California, Roofr has raised more than $23 million and built a growing customer base among residential roofing contractors in North America. The company's integrated approach to measurement and proposal — combining instant aerial measurement with customizable proposal templates in a single workflow — differentiates it from competitors that provide measurement data separately from proposal software.\n\nRoofr's platform delivers instant roof measurement reports generated from satellite imagery, providing area, pitch, and facet measurements within minutes of entering an address without waiting for aerial imagery orders. Proposal creation tools allow contractors to build professional, branded proposals that include measurement data, selected materials, pricing, photos, and payment options in a format homeowners can review and digitally sign. The platform tracks proposal views and responses, allowing sales teams to follow up at the right moment. Payment collection tools support deposit collection and final payment processing directly through the platform.\n\nRoofr competes with EagleView and Hover in roof measurement and with JobNimbus, AccuLynx, and other contractor CRMs in the broader roofing software space. Its integration of measurement and proposal in a single affordable platform at a price point accessible to smaller roofing contractors has driven strong adoption among contractors looking for a modern alternative to manual measurement and PDF proposals. The company has been adding CRM and job management features to expand from measurement and proposal into a more complete business management platform for roofing companies.
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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