Komo

Komo is an AI-powered revenue engine designed to automate the repetitive tasks that sales professionals and revenue teams typically handle between their CRM system and email inbox. The platform functions as a single workflow that monitors buyer signals, conducts research, drafts communications, prepares meeting agendas, manages follow-ups, and updates CRM records — all without manual intervention. When a user connects their email and CRM, Komo begins capturing every call and every email in real time, including metadata such as call duration, participants, and key discussion points. The system then organizes this information into structured account profiles, which include sections for overview, contacts, meetings, tasks, notes, and files. Users can view account summaries that show recent activity, such as a new discovery call or a follow-up email, and see the overall account health through stages like evaluation or negotiation. The core functionality revolves around four main phases: Discover, Research, Capture, and Action. In the Discover phase, Komo identifies warm leads rather than cold lists by analyzing behavioral signals from prospects — for example, repeated email opens, meeting requests, or website visits. The Research phase automatically gathers background information on each account, including company size, revenue, location, founding year, and industry vertical. This data is pulled from public sources and integrated into the account record. The Capture phase logs every interaction — voice calls, video meetings, emails, and even file attachments — and indexes them for later search. Finally, the Action phase preps the user for every upcoming meeting by summarizing past interactions, highlighting key topics, suggesting talking points, and drafting follow-up messa