Side-by-side comparison of AI visibility scores, market position, and capabilities
$21.2M revenue 2024 (up from $8.2M 2023); $66.5M total funding ($40M Series B Aug 2023); 178 employees; 115+ supported frameworks; customers: Veeva, Fortinet, 3M, Motorola; compliance operations leader
Hyperproof was founded in 2019 by Craig Unger, a former compliance technology executive, to solve the operational inefficiency of enterprise compliance programs — the manual, spreadsheet-heavy process of collecting evidence, mapping controls to frameworks, and managing audit workflows across overlapping regulatory requirements. The company built a compliance operations platform designed to make continuous compliance achievable: rather than scrambling for evidence before an annual audit, teams maintain a live compliance posture against multiple frameworks simultaneously through integrations that automate evidence collection from cloud infrastructure and SaaS tools.\n\nHyperproof's platform provides a centralized control library mapping to 115+ frameworks including SOC 2, ISO 27001, HIPAA, FedRAMP, PCI DSS, GDPR, and CMMC. Controls are mapped once and reused across multiple frameworks to eliminate redundant evidence collection. Automated evidence collection integrates with AWS, Azure, GCP, GitHub, Jira, and Okta to pull compliance artifacts without manual effort. Risk management, vendor assessments, and policy management modules extend the platform beyond audit readiness into broader GRC workflows. Customers include Veeva Systems and Flexport.\n\nHyperproof reported $21.2 million in revenue for 2024, up from $8.2 million in 2023 — a 158% year-over-year increase — and has raised $66.5 million in total funding with 178 employees. Rapid growth reflects expanding compliance obligations on technology companies as AI governance frameworks, FedRAMP requirements, and state privacy regulations layer on top of existing security certifications. Hyperproof's automation-first architecture enables compliance program scaling without proportional headcount growth.
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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