Range vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI wealth management for high-income professionals. Flat-fee model with human advisors + AI dashboard. $103M raised ($60M Series C). Founded 2021, McLean VA.
About
Range is a McLean, Virginia-based wealth management company founded in 2021 to serve high-income professionals — physicians, lawyers, engineers, and executives — who earn significant incomes but lack the time, expertise, or appropriate advisory relationships to optimize their full financial picture. The company was built on the observation that the traditional wealth management industry serves the ultra-wealthy well but leaves a large population of high-earning professionals underserved by advisors who focus on assets under management rather than comprehensive financial planning. Range built a flat-fee advisory model that aligns advisor incentives with client outcomes rather than portfolio size.\n\nRange's platform combines human financial advisors with an AI-powered financial dashboard that gives clients real-time visibility into their complete financial life — income, equity compensation, tax exposure, insurance, estate planning, real estate, and investments — in a single interface. Advisors use the AI tools to provide proactive guidance on tax optimization, equity vesting strategy, debt management, and retirement planning across what are often complex, multi-source financial situations. The flat-fee pricing model, starting at approximately $3,600 per year, makes comprehensive wealth management economically accessible to professionals who do not yet have the accumulated assets that traditional private wealth managers require.\n\nRange has raised $103 million in total, including a $60 million Series C, to scale its advisor team, technology platform, and member acquisition. The company competes with Facet Wealth, Savant Capital, and traditional RIAs in the comprehensive financial planning space, but differentiates through its technology-forward platform, equity compensation expertise, and flat-fee transparency. As more high-income professionals accumulate complex financial situations through startup equity, RSU vesting, and multi-source income, Range's model of human expertise augmented by AI financial intelligence addresses a large and growing market segment that traditional wealth management has consistently underserved.
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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