Thinking Machines Lab vs CrowdStrike
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI research lab founded by ex-OpenAI CTO Mira Murati. Raised $2B at $12B valuation from a16z, Nvidia, AMD; signed multi-year Nvidia compute deal in 2026.
About
Thinking Machines Lab was founded by Mira Murati, who served as Chief Technology Officer of OpenAI before departing in 2024. Murati's tenure at OpenAI oversaw the development and launch of GPT-4, DALL-E, and ChatGPT, giving her unmatched firsthand experience with the technical and organizational challenges of frontier AI development. She founded Thinking Machines Lab with the mission of building AI systems that are both highly capable and deeply aligned with human values and intent.\n\nThinking Machines Lab operates as an AI research organization focused on developing next-generation foundation models and the scientific frameworks needed to make powerful AI systems more reliable, interpretable, and beneficial. The company has assembled a team of researchers from leading AI institutions and is building the compute infrastructure necessary for frontier model training. It secured a multi-year compute agreement with NVIDIA, ensuring access to the GPU capacity required to compete at the frontier of AI research.\n\nThe company raised $2 billion at a $12 billion valuation, with participation from Andreessen Horowitz, NVIDIA, and AMD — a capital raise that ranks among the largest first rounds in technology history. The involvement of both major AI chip vendors as strategic investors signals deep alignment between Thinking Machines Lab's compute roadmap and the hardware ecosystem. With Murati's profile, the caliber of its investor base, and its frontier research mandate, Thinking Machines Lab is positioned as one of the most closely watched AI labs in the post-ChatGPT era.
CrowdStrike (CRWD) reported $3.95B ARR in FY2025 (ended Jan). Revenue $3.74B, up 29% YoY. Market cap ~$85B. 8,600+ employees. Austin, TX. AI-native cybersecurity platform. Charlotte AI for threat detection.
About
CrowdStrike is an AI-native cybersecurity company founded in 2011 by George Kurtz, Dmitri Alperovitch, and Gregg Marston and headquartered in Austin, Texas, that built the endpoint detection and response (EDR) category and has since expanded into the broadest cloud-native cybersecurity platform in the industry. The company was founded on the insight that traditional antivirus software — signature-based, retrospective, and endpoint-isolated — could not keep pace with sophisticated adversaries operating at machine speed. CrowdStrike's founding architecture, the Falcon platform, was designed cloud-native from day one: a single lightweight agent on the endpoint feeding a cloud-based AI that learns from trillions of security events across every customer simultaneously. The company trades on Nasdaq under the ticker CRWD.\n\nThe CrowdStrike Falcon platform consolidates more than 28 security modules across endpoint security, identity threat protection, cloud security, next-gen SIEM and log management, threat intelligence, and managed detection and response — all delivered through a single agent and unified console. The AI at the platform's core, Charlotte AI, provides conversational security operations, automated investigation, and AI-generated threat summaries that reduce analyst workload. CrowdStrike's threat intelligence team, Adversary Intelligence, tracks and names nation-state and criminal threat actors globally, giving customers predictive insight into campaigns before they hit their environments.\n\nCrowdStrike reported $3.95 billion in annual recurring revenue (ARR) for FY2025 and total revenue of $3.74 billion, up 29% year over year, with a market capitalization of approximately $85 billion. The company has 8,600+ employees and counts a substantial share of the Fortune 500 and global governments as customers. Despite the July 2024 sensor update incident that caused a significant IT outage affecting millions of Windows systems globally, CrowdStrike's customer retention remained strong — a testament to the platform's depth of integration and the switching costs built into its consolidated architecture.
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