Side-by-side comparison of AI visibility scores, market position, and capabilities
$150M ARR Jan 2025 ($3.2B valuation); Jason Boehmig/Cai GoGwilt founders; Gartner/Forrester Leader; YC S15
Ironclad was founded in 2017 by Jason Boehmig and Cai GoGwilt, who met at Y Combinator's S15 batch, to digitize the contract process for in-house legal teams still managing contracts through email, Word documents, and shared network drives. The founders observed that legal teams spent the majority of their time on high-volume, repeatable contract workflows — NDAs, vendor agreements, customer agreements — rather than on high-value legal judgment. Ironclad built a no-code contract lifecycle management platform allowing legal teams to create automated workflows without engineering dependencies.\n\nIronclad's platform covers the full contract lifecycle: workflow automation for creation and review, a counterparty negotiation portal for redlining and approvals, a contract repository with AI-powered search and metadata extraction, cycle-time analytics, and integrations with Salesforce, DocuSign, and Slack. Ironclad AI performs obligation extraction, risk flagging, and contract summarization to accelerate review and maintain consistent standard terms. The platform is recognized as a Gartner and Forrester Leader in CLM and serves enterprise legal teams at Dropbox, Mastercard, and L'Oreal.\n\nIronclad reached $150 million in ARR in January 2025 at a $3.2 billion valuation from investors including Y Combinator, Accel, Sequoia, and Thrive Capital. As legal departments face pressure to scale without proportional headcount and as AI-powered contract review matures from point solution to platform capability, Ironclad's position as the workflow layer for enterprise contract operations gives it a structural advantage over point-solution CLM vendors.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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