Timefold Raises $13M as AI Drives Demand for Routing and Scheduling APIs

• Led by Alstin Capital, co-investor Kompas VC, and continued backing from Lakestar and Smartfin
• ARR grew 4x in 2025 as enterprises like NEC Software Solutions, CBRE, Lufthansa, Thales,  and Subaru embedded Timefold’s APIs into mission-critical scheduling solutions
• Funding will accelerate US expansion and platform product development
  

GENT, BELGIUM – 23 June 2026 – Timefold, the developer platform for vehicle routing and shift scheduling APIs, today announced the close of a $13M Series A funding round led by Alstin Capital, with co-investor Kompas VC, and continued backing from existing investors Lakestar and Smartfin.

Timefold enables software teams in field service and workforce management to easily integrate enterprise-grade scheduling optimization into the solutions they are supporting.

The round follows a year of commercial momentum. In 2025, Timefold grew its annual recurring revenue 4x, driven by enterprises and software vendors embedding its APIs into mission-critical field service operations and scheduling workflows.

The new funding will accelerate Timefold’s US expansion and support the growing enterprise demand for easy-to-integrate scheduling optimization infrastructure.

“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.”

Scheduling optimization for the AI builder era

The rise of AI agents is creating a new generation of software that can understand requests and generate schedules. But LLM-generated schedules don’t always work in production because of its probabilistic nature.

Timefold offers AI-powered software powered by a deterministic algorithm to tackle large-scale scheduling challenges. It enables teams to automate decisions on which technician should visit which customer, how to respond when a technician calls in sick, or how to create a shift schedule that is fair, compliant, and fully staffed.

That decision-making is particularly essential in field service, where operations are among the hardest scheduling environments to manage. Every day, companies must coordinate thousands of jobs while balancing technician qualifications, SLAs, labor regulations, travel times, customer availability, and last-minute disruptions in real time.

Freeing the world from wasteful scheduling

Handling any constraint, any scale, and any level of operational complexity, Timefold delivers measurable results. A global real estate services company reduced drive time by up to 33%, cut distance traveled by 43%, and eliminated overtime entirely using Timefold’s Field Service Routing solution. A major US retail staffing provider reduced a scheduling process that previously took 10 weeks to just 10 minutesusing Timefold’s Employee Shift Scheduling model.

Enterprise customers, including NEC Software Solutions (NECSWS), CBRE, Orange Telecom, ADP, and Lufthansa, rely on Timefold to power operational scheduling workflows where inefficiency directly impacts profitability, customer experience, and workforce productivity.

“We chose Timefold because it gave us a practical way to bring advanced planning AI into real operations without slowing down delivery,” says Kay Aston of NECSWS. “Their technology helped us move faster, create clear operational value, and strengthen how we bring optimization capabilities to our customer base.”

Scheduling as a foundational component

Timefold believes scheduling optimization will become a foundational component of software in the AI era. As software development becomes more accessible and AI-generated applications become commonplace, the company’s vision is to become the default platform for building, deploying, and operating scheduling optimization models, enabling any software team to solve complex scheduling problems at scale.

“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.