Ando Raises $4M for AI Workforce Scheduling
Ando, a startup building an AI platform for scheduling the hourly workforce, has raised $4 million in seed funding. The investment shows continued venture interest in vertical AI applications that target operational efficiency in labor-intensive sectors.
- The seed round was led by Slow Ventures, with participation from Blitzscaling Ventures, Zero Capital, Monochrome, Gaingels, Mana Ventures, and Fireroad. - Ando was founded by CEO Paul Wellons to address inefficiencies in a U.S. market of approximately 80 million hourly workers who log about 146 billion hours annually. - The company targets major operational costs for businesses, citing that turnover in hourly roles can be as high as 150%, costing over $5,800 in replacement and training for each departing employee. - In its first year serving enterprise customers, Ando's platform has demonstrated over 90% accuracy in daily demand forecasting and has achieved a 100% conversion rate from pilot to paid platform, with 100% retention. - The company's roadmap includes enhancing its AI to provide forecasting and scheduling at 15-minute increments to further optimize staffing. - Sam Lessin, General Partner at lead investor Slow Ventures, noted that Ando is building foundational infrastructure for hourly work by using an "AI-native approach to predictive demand and labor allocation." - To guide its strategy, Ando has formed an advisory group that includes executives with experience at Panera Brands, Krispy Kreme, Lyft, Microsoft, and Google.