Side-by-side comparison of AI visibility scores, market position, and capabilities
AI workspace for sales reps that auto-updates Salesforce, enforces methodologies like MEDDPICC, and captures call notes with AI. $49.6M raised; tens of thousands of users in thousands of companies.
Scratchpad is an AI-powered sales productivity workspace founded in 2019 and headquartered in San Francisco, providing Salesforce-connected tools that eliminate the manual data entry burden for account executives and sales teams. The company has raised $49.6 million across three rounds, including a $33 million Series B in January 2022 led by Craft Ventures with participation from Accel.\n\nScratchpad's core offering is a fast, flexible workspace that surfaces Salesforce data alongside AI-generated call notes, pipeline views, and deal scorecards—allowing reps to update fields, leave notes, and manage deals without switching between Salesforce tabs. Its AI call recorder and notetaker automatically capture and transcribe customer conversations, then use AI to analyze interactions and automatically update Salesforce fields based on what was discussed. The platform enforces sales methodologies including MEDDPICC, SPICED, and BANT by surfacing methodology completion scores and flagging missing qualification data.\n\nScratchpad is used by tens of thousands of reps inside thousands of companies and is priced accessibly at $19–$49 per user per month, making it popular with mid-market and enterprise teams seeking Salesforce productivity gains without a full process overhaul. The platform competes with Groove by Clari and Momentum.io in the Salesforce productivity and activity capture space.
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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