Stack AI vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
No-code AI workflow builder that is HIPAA, SOC 2, and GDPR compliant; raised $16.6M; serves finance, insurance, education, and government teams building document processing, knowledge Q&A, and automation workflows in regulated industries.
About
Stack AI is a no-code AI workflow builder founded in 2021 and headquartered in Cambridge, MA. The platform enables organizations to build, deploy, and manage AI-powered automation workflows without writing code, making enterprise-grade AI accessible to non-technical teams. Stack AI was built from the ground up with compliance in mind, achieving HIPAA, SOC 2, and GDPR certifications to serve regulated industries.\n\nThe platform offers a drag-and-drop interface for connecting LLMs, data sources, APIs, and business logic into end-to-end AI workflows. Target customers include teams in finance, insurance, education, and government — sectors where data privacy and auditability are non-negotiable. Common use cases include document processing, intelligent Q&A over internal knowledge bases, and automated customer service workflows.\n\nStack AI has raised $16.6 million in funding and counts enterprise clients across its four core verticals. The company competes in the rapidly growing AI workflow automation market alongside tools like Zapier AI and n8n, but differentiates through its compliance-first architecture and deep enterprise integrations. Its 2024–2025 growth has been driven by demand from regulated industries seeking to operationalize AI without exposing sensitive data.
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).
AI Visibility Head-to-Head
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.