Side-by-side comparison of AI visibility scores, market position, and capabilities
Conversational AI role-play platform for sales training. Raised $22M Series B in Oct 2025 backed by Zoom. Deploys AI-driven practice scenarios in 20 languages; cuts rep onboarding time by 33%.
Second Nature AI is an AI-powered sales training and role-play platform founded in Israel and headquartered globally, enabling revenue teams to practice sales conversations with realistic AI personas. In October 2025, the company raised a $22 million Series B led by Sienna VC and supported by Zoom (also a customer), Bright Pixel, StageOne Ventures, Cardumen, and Signals VC, bringing total funding to over $37 million.\n\nSecond Nature's technology builds a data model of each company's sales playbook by analyzing recorded calls, marketing collateral, and scripts, then generates a library of AI-driven role-play scenarios mirroring the most common conversations reps encounter. After each practice session, reps receive personalized feedback and performance scores across dimensions like objection handling, discovery quality, and closing behavior. The platform supports 20 languages and multiple conversational styles, and new customers can deploy their first AI role-plays within an hour of onboarding.\n\nCustomers report a 33% reduction in onboarding time and a 20%+ increase in sales for teams like GoHealth. Second Nature competes with Mindtickle and Brainshark for sales readiness market share, differentiating on the depth and realism of its AI conversation engine. The October 2025 funding will support global expansion and deeper integration of personalized coaching and certification workflows into enterprise training systems.
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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