Side-by-side comparison of AI visibility scores, market position, and capabilities
AI Sales Assistant Platform for SDR teams: parallel dialing, AI prospecting, and real-time call coaching. Raised $70M total; 4x YoY revenue growth; G2 Leader in Auto Dialer for 4 straight quarters.
Nooks is an AI Sales Assistant Platform (ASAP) founded in 2020 by Stanford alumni and headquartered in San Francisco. The company raised $70 million in total venture funding including a $43 million Series B led by Kleiner Perkins. Nooks has achieved 4x year-over-year revenue growth and expanded to 90 employees by end of 2025, earning G2 Leader status in the Auto Dialer category for four consecutive quarters.\n\nNooks has evolved from a parallel dialer and virtual sales floor into a comprehensive platform with three AI-powered pillars: the AI Dialing Assistant (power and parallel dialing with automatic bad number detection and voicemail drop), the AI Coaching Assistant (call transcription, performance scoring, and AI-driven role-play for rep development), and the AI Prospector (account research, buying-signal detection, list building, and personalized email drafting). Together these tools automate the most time-consuming parts of sales development work.\n\nThe platform is especially popular with SDR-heavy organizations that need to maximize call volume and conversion rates while simultaneously coaching reps. Nooks competes with Orum, Dialpad, and traditional parallel dialers but differentiates through its all-in-one workspace that combines dialing, prospecting intelligence, and coaching in a single interface—reducing the tool sprawl that plagues modern SDR teams.
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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