Side-by-side comparison of AI visibility scores, market position, and capabilities
Causal raised 0M+ (Coatue) for financial modeling that reimagines spreadsheets as transparent, shareable formula-based models; built by ex-McKinsey founders in London for business planning.
Causal is a financial modeling and business planning tool that reimagines the spreadsheet as a more powerful, transparent, and shareable medium for financial and operational analysis. Founded in 2019 and headquartered in London, United Kingdom, Causal has raised more than $30 million from investors including Coatue Management. The company was built by former McKinsey consultants and software engineers who believed that spreadsheets could be fundamentally improved without abandoning the formula-based modeling approach that makes them so versatile for financial planning.\n\nCausal's interface introduces a formula-based modeling system that maintains the flexibility of spreadsheets while adding features that traditional spreadsheets lack: visible model structure, automatic scenario management, live data connections, and presentation-quality output. Users write formulas to define business logic, and Causal automatically organizes those formulas into a readable, auditable model structure rather than hiding logic in individual cells. This makes Causal models easier to review, share, and hand off than traditional spreadsheet models, addressing a key failure mode of spreadsheet FP&A.\n\nCausal targets early-stage startups, growth companies, and financial consultants who build financial models for clients, as well as finance teams at mid-market companies who want more powerful modeling tools without moving to full CPM platforms. The tool has found particular traction for startup fundraising models, unit economics analysis, and scenario planning use cases. Causal competes with Runway Financial, Cube, and more broadly with Excel and Google Sheets themselves, positioning itself as a modern replacement for the spreadsheet in the financial modeling workflow.
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.
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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