Schedule naturally via email/chat/voice — AI finds times and closes invites

Schedule naturally via email/chat/voice — AI finds times and closes invites targets a $6.0B = 200M knowledge workers × $30 ARPU per year for scheduling/automation total addressable market with medium saturation and a year-over-year growth rate of 12% YoY — scheduling & productivity automation growth driven by hybrid work and AI adoption (Source: industry reports and productivity SaaS trends).

Key trends driving demand: LLM improvement — higher-quality intent extraction and multi-turn dialogue enable robust natural-language scheduling, reducing friction compared to link-based booking.; Hybrid and remote work — distributed teams increase scheduling complexity and the demand for automation that understands time zones and availability patterns.; API maturity — standardized calendar and conferencing APIs make deep integrations feasible for startups without proprietary infrastructure.; Worker automation — companies are prioritizing automation of repetitive administrative tasks to improve productivity and reduce churn among knowledge workers..