Timefold Raises $13 Mn in Series A Round led by Alstin Capital

The round was led by Alstin Capital, with participation from Kompas VC. Existing investors Lakestar and Smartfin also joined the funding round.

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Timefold helps businesses optimize delivery routes and employee schedules through its API-based platform.

"Schedules run the world," says Maarten Vandenbroucke, CEO of Timefold. "We are all at the mercy of a schedule, and so are the millions of frontline workers whose days depend on getting it right. As software becomes increasingly autonomous, optimization becomes foundational infrastructure. That’s why we believe Timefold is the best vehicle routing scheduler. Our platform gives software builders the ability to embed enterprise-grade decision intelligence into their applications, enabling better outcomes for businesses, workers, and customers alike."

"What matters in mission-critical scheduling isn't creativity, it's correctness: a shift roster or a vehicle route has to be right, compliant, and reproducible every time. LLMs aren't built for that. What convinced us to lead Timefold's round was the team's understanding of exactly that constraint, and what they've built around it. They've taken a battle-tested open source optimization engine and wrapped it in modular products that any enterprise can deploy, without needing a team of mathematicians. That's how deep optimization technology becomes infrastructure, and we believe Timefold is best placed to own that category”, says Alexander Meyer-Scharenberg, Partner at Alstin Capital.

Founded in 2022, Timefold is a scheduling optimization platform that helps software developers and IT teams build and manage complex workforce scheduling systems.

The platform connects to existing software through APIs and helps businesses create better employee schedules, even when there are many rules and constraints to consider. Unlike traditional rule-based systems, Timefold is designed to handle growing scheduling complexity more efficiently.

It gives engineering teams full control over scheduling rules, while helping operations teams create schedules that are easy to understand and trust. As a result, businesses can reduce costs, improve efficiency, and maintain reliable scheduling systems as they scale.