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§ Private Profile · Cincinnati, OH, USA
Scheduler AI is a technology company.
Scheduler AI develops an intelligent assistant that automates the entire lifecycle of meeting coordination. Its core product functions as an AI-powered copilot, autonomously booking, rescheduling, and managing meetings across email, webchat, and text messaging. The platform integrates with existing calendars and video conferencing tools, enabling it to scan real-time availability, coordinate time zones, and generate post-meeting summaries and action items.
The company was founded in 2021 by Maddie Bell and Mike Bell. Their insight stemmed from the considerable time and effort teams waste on manual meeting logistics, such as proposing times, sending reminders, and handling reschedules. They envisioned a solution that leverages conversational AI to eliminate these repetitive tasks, thereby freeing up human capital for more strategic endeavors.
Scheduler AI targets businesses and established go-to-market teams seeking to optimize their sales and operational workflows. The platform ensures leads are qualified and meetings are booked efficiently, scaling operations without necessitating additional headcount. Its vision is to transform how organizations manage their meeting schedules, enhancing productivity and ensuring no opportunity is overlooked due to administrative friction.
Scheduler AI has raised $4.0M across 2 funding rounds.
Scheduler AI has raised $4.0M in total across 2 funding rounds.
Scheduler AI is a technology company building a patented, fully autonomous AI agent that acts as a scheduling copilot for businesses, instantly connecting them with prospects and customers by booking meetings, proposing times, rebooking, reminding, recording, and generating follow-up notes.[1][2] It serves individuals, small teams, and enterprises—particularly in B2B sales and go-to-market functions—solving the time-consuming pain of manual scheduling across messaging platforms, calendars, emails, and CRMs, while qualifying leads, routing them appropriately, and ensuring meetings stick.[1][2][5] The platform integrates seamlessly with tools like Gmail, Google Calendar, Outlook, Slack, Zoom, and CRMs, offering tiered plans from basic individual use to enterprise-scale deployment on custom domains, with strong early testimonials highlighting its hands-off efficiency in converting interest to booked calls.[2]
Founded by CEO Maddie Bell and her husband, the company is headquartered in Cincinnati, Ohio, and has gained traction amid the rise of AI agents, positioning itself as a revenue-boosting assistant that handles the full lifecycle of prospect engagement beyond mere calendar slots.[1]
Scheduler AI emerged from CEO and Founder Maddie Bell's personal insight into a universal business pain point: the revenue leakage from inefficient meeting scheduling amid busy professional lives.[1] With over a decade leading billion-dollar innovations at scale—including P&G’s “Lifetime Achievement Award” in digital innovation and patented AI development—Bell balanced a high-powered career with raising three young daughters when she spotted the opportunity for AI to automate this drudgery.[1] She co-founded the company with her husband to build a fully autonomous AI agent that engages prospects at peak interest, qualifies them via conversation, routes to the right team members, books via coordinated time proposals, reminds, rebooks, captures notes, and drives follow-ups—replicating and surpassing human efforts across fragmented communication channels.[1]
Early momentum built on Bell's expertise in launching breakthrough products and award-winning campaigns, evolving the idea into a patented platform that integrates directly into business systems like messaging apps and calendars, quickly demonstrating real-world value in B2B contexts.[1][2]
Scheduler AI stands out in the crowded AI scheduling space through its end-to-end autonomy and deep integrations, going beyond basic calendar tools to act as a conversational lead handler:
These features leverage patented AI to address scheduling's full context—from communication to execution—differentiating it from rule-based or manual tools.[1]
Scheduler AI rides the surging wave of AI agents, autonomous systems that handle complex, multi-step tasks like lead-to-meeting conversion, amid the shift from chatbots to proactive copilots powering sales and operations.[1][6] Timing is ideal as businesses grapple with fragmented tools (calendars, messaging, CRMs) and rising demand for 24/7 efficiency, fueled by advancements in natural language processing and real-time optimization—market forces like AI adoption in GTM teams and remote work amplify its value.[2] By automating revenue-critical workflows, it influences the ecosystem, enabling lean teams to scale outreach, reduce no-shows, and focus on high-value interactions, much like how broader agentic AI (e.g., from OpenAI, Salesforce) is reshaping field service and CRM.[3][6]
Scheduler AI is primed to expand as AI agents mature, potentially deepening CRM/enterprise integrations and adding multi-agent orchestration for full sales funnels amid 2026's agent proliferation.[1][6] Trends like predictive lead scoring, voice-enabled booking, and cross-platform ecosystems will shape its path, evolving it from scheduler to comprehensive revenue copilot. Its influence could grow by powering viral B2B growth loops, cementing Maddie Bell's vision of AI as an invisible, always-on business ally that turns fleeting interest into locked-in meetings—echoing the high-level promise of frictionless prospect connection.
Scheduler AI has raised $4.0M across 2 funding rounds. Most recently, it raised $3.0M Seed in April 2024.
Scheduler AI has raised $4.0M in total across 2 funding rounds.
Scheduler AI's investors include Drive Capital, 11 Tribes Ventures, Act One Ventures, Addition, Anthemis Group, Betaworks Ventures, Bonfire Ventures, BoxGroup, Browder Capital, Buckley Ventures, CapitalX, Coelius Capital.