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Welcome to Syncline

Syncline is an AI-powered scheduling infrastructure for building autonomous agents. Instead of traditional “pick a time slot” scheduling tools, Syncline provides intelligent APIs that your AI agents can use to:
  • Automatically find optimal meeting times based on 100+ factors
  • Learn from user behavior to improve scheduling decisions over time
  • Handle complex multi-party scheduling with timezone awareness and preference optimization
  • Coordinate calendars intelligently when both parties opt in, or autonomously schedule on individual calendars
Perfect for building:
  • AI scheduling assistants (like x.ai or Clara)
  • Autonomous meeting coordinators for sales/support teams
  • Smart calendar agents for executives
  • Multi-agent systems that need to schedule collaboration time

Why Syncline?

Traditional Scheduling is Broken

Most scheduling tools show users 3-5 time slots and ask them to pick. This creates:
  • Decision fatigue - Users have to think about which time is “best”
  • Suboptimal choices - Users pick based on gut feeling, not data
  • Back-and-forth - Coordination overhead between multiple people

Syncline’s AI Approach

One API call. Zero human decisions.
  1. Your AI agent sends attendees + context
  2. Syncline finds availability across all calendars
  3. AI scores every possible slot on 100+ factors
  4. Selects the optimal time automatically
  5. Creates the meeting and sends invites

Key Features

AI picks the best time based on meeting context, user preferences, energy patterns, and historical data. No human input needed.
Investor calls get morning slots. Quick syncs are flexible. The AI understands 13 different meeting contexts and schedules accordingly.
Every meeting teaches the system. Fast acceptances boost scores. Reschedules lower them. The AI gets smarter with every booking.Three-Phase Intelligence:
  • Phase 1: Reinforcement learning processes outcomes every 5 minutes
  • Phase 2: Real-time Google Calendar webhooks track acceptances instantly
  • Phase 3: Claude AI determines meeting organizers from natural language
NEW: Natural language understanding determines who should create the meeting based on social dynamics.Examples:
  • “Alice pitching to investor” → Alice organizes (she’s requesting time)
  • “Get on Maria’s calendar for office hours” → Maria organizes (she’s hosting)
  • “Interview candidate” → Company organizes (they’re hiring)
Falls back gracefully if Claude unavailable. Override with force_organizer.
Built-in Model Context Protocol server. Claude, GPT, and other AI agents can schedule meetings through natural conversation.

Pricing

Free

100 meetings/monthPerfect for testing$0 forever

Starter

1,000 meetings/monthFor growing platforms$99/month

Growth

5,000 meetings/monthFor scaling platforms$299/month

Enterprise

Unlimited meetingsCustom solutionsStarting at $999/month

Next Steps