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Zaasmi
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Zaasmi is a desktop app for Mac and Windows that gives real-time AI help during live video calls โ Zoom, Google Meet, Microsoft Teams. It listens as you talk and privately shows suggestions on your screen, invisible even during screen share. Unlike other AI copilots, Zaasmi never records or stores call audio or transcripts โ everything is processed live and discarded. Built for salespeople, recruiters, and consultants who want to sound sharp without pausing to think.
GitPrime ZaasmiGitPrime is recommended for engineering managers, team leads, and project managers who are looking for data-driven insights to understand and enhance the productivity of their software development teams. It's particularly useful for medium to large teams where it's critical to evaluate performance metrics objectively and address inefficiencies proactively.
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Zaasmi's answer:
Zaasmi is completely undetectable on live calls and during screen sharing (Zoom, Google Meet, Microsoft Teams). Unlike traditional meeting bots, it never records, transcribes, or stores audioโeverything is processed live and discarded instantly for 100% privacy.
Zaasmi's answer:
Most AI meeting assistants force you to record calls or display a bot join notification, creating friction with clients. Zaasmi acts as an invisible sales copilot, providing real-time objection-handling and prompts directly on your screen without anyone else knowing.
Zaasmi's answer:
Sales representatives, account executives, recruiters, consultants, and agency founders who handle high-stakes live video calls and want to respond confidently without freezing or pausing to think.
Zaasmi's answer:
Zaasmi was created to solve the awkward moments of freezing or losing track during critical sales calls. Existing AI tools were intrusive, forced call recordings, and made clients uncomfortable. We built Zaasmi as an invisible, privacy-first safety net that helps professionals sound sharp in real time.
Zaasmi's answer:
Native Desktop Framework (macOS & Windows), Real-Time Speech Recognition (STT), Large Language Models (LLMs), and an ephemeral edge processing system for zero data storage.
Zaasmi's answer:
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