Timefold raises $13M Series A to scale scheduling optimisation infrastructure

Timefold, a developer platform for vehicle routing and shift scheduling APIs, has raised $13 million in a Series A funding round led by Alstin Capital, with participation from Kompas VC and continued backing from existing investors Lakestar and Smartfin.

Founded on the belief that scheduling is a critical yet often overlooked layer of business operations, Timefold enables software teams to embed enterprise-grade optimisation capabilities directly into their products. Its platform helps automate complex operational decisions, from assigning technicians to jobs and responding to last-minute disruptions to creating fair, compliant and fully staffed employee schedules.

The need for such technology is becoming more pronounced as AI-generated software becomes increasingly common. While large language models can generate schedules, they often struggle to reliably handle the operational constraints and real-world complexity required in production environments. Timefold combines AI-powered software with deterministic optimisation algorithms designed to solve complex scheduling challenges reliably at scale.

This is particularly relevant in field service, where organisations must coordinate thousands of jobs while balancing technician skills, service-level agreements, labour regulations, travel times, customer availability and unexpected disruptions. Timefold's platform is designed to handle these constraints while optimising operational efficiency.

The round follows a year of strong commercial momentum. In 2025, Timefold increased its annual recurring revenue fourfold as enterprises and software vendors increasingly embedded its scheduling optimisation APIs into field service operations and workforce management workflows.

The company plans to use the new capital to accelerate its expansion in the US and meet growing enterprise demand for scheduling optimisation infrastructure that can be easily integrated into software applications.

As software becomes increasingly autonomous, optimisation becomes foundational infrastructure. 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,

said Maarten Vandenbroucke, CEO of Timefold.

Looking ahead, Timefold aims to become the default platform for building, deploying and operating scheduling optimisation models. As AI-powered software development becomes more widespread, the company sees scheduling optimisation as a foundational component of the next generation of business applications.