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.