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An AI-powered active scheduling platform that automates B2B meeting bookings.
Automates inbound and outbound meeting negotiation completely through AI email conversations. Predicts optimal availability times for prospects based on systemic calendar models and behavioral history. Places calendar invitations automatically on representative schedules within 60 seconds of inbound submission. Orchestrates scaled many-to-many team outreaches to book hundreds of meetings simultaneously. Tracks calendar monetization values and multi-channel meeting analytics across various internal pipeline pipelines. Provides native integration checkpoints to ensure multi-CRM syncing and zero manual logging for sales reps.
SLA Optimization: Solves the typical 42-hour average response delay by delivering an immediate, targeted calendar invitation under a minute. Higher Conversion Rates: Removes typical booking friction by negotiating specific meeting times natively in the email thread instead of dropping standard links. Massive Scale: Enables a single system operator to play 'puppet master', setting up thousands of complex team meetings concurrently across an entire enterprise.
Category: AI & Automation
Team Size: 26–100
Visit WebsiteKronologic is a specialized meeting scheduling platform designed for mid-market and enterprise B2B revenue teams to optimize inbound and outbound lead conversions. By leveraging machine learning models to negotiate calendars automatically over email, Kronologic ensures near-instant response times for high-intent prospects. It bypasses the need for traditional manual scheduling links, placing pre-negotiated meeting invites directly on calendars to accelerate the sales pipeline and reduce booking friction.
Kronologic was co-founded in Austin, Texas by Ben Parker and Chris Lee after noticing that massive investments in B2B inbound leads were being wasted due to poor follow-up windows. Drawing on Ben's extensive background in enterprise sales engineering at VMware and Chris's architecture leadership at Rapid7, they built an automated AI layer capable of treating calendar time as a liquid asset.