Side-by-side comparison of AI visibility scores, market position, and capabilities
YC W26 agentic video editor for growth teams generating first cuts from footage and goals in minutes using multimodal LLMs; browser-based via WebGPU eliminating software installation; reduces manual video editing to autonomous AI-directed sequencing and pacing.
Cardboard is an AI-native video editing company that graduated from Y Combinator's Winter 2026 batch. The company was founded to eliminate the manual, time-intensive process of editing video content for growth and marketing teams. Its core technology applies multimodal large language models to understand raw video footage in the context of a team's goals, then autonomously generates a polished first cut — compressing what previously took hours into minutes.\n\nCardboard's platform runs entirely in the browser using WebGPU, removing the need for desktop software installation and enabling collaboration across teams without version conflicts. The agentic editor accepts footage alongside a creative brief or campaign goal, then makes sequencing, pacing, and cut decisions in line with that intent. This goal-aware editing approach is designed for performance marketing teams, social media managers, and growth hackers who produce high volumes of short-form content across platforms like TikTok, Instagram, and YouTube Shorts.\n\nAs a YC W26 company, Cardboard is in early-stage growth and is focused on building its customer base among digital marketing teams and agencies. The product addresses a significant bottleneck in content pipelines where video editing talent and turnaround time limit the volume and velocity of campaigns. By democratizing professional-quality editing through agentic AI, Cardboard positions itself to become essential infrastructure for high-output growth teams that treat video as a core performance channel.
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).
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.