Timefold raises $13M Series A to scale scheduling optimisation infrastructure
Timefold, a developer platform forvehicle routing and shift scheduling APIs, has raised $13 million in a Series Afunding round led by Alstin Capital, with participation from Kompas VC andcontinued bac... New funding will help Timefold expand its scheduling optimisation platform, enabling software teams to embed vehicle routing and workforce scheduling capabilities into enterprise applications and automate complex operational decisions at scale.
Key Takeaways
- Artificial Intelligence Timefold raises $13M Series A to scale scheduling optimisation infrastructure New funding will help Timefold expand its scheduling optimisation platform, enabling software teams to embed vehicle routing and workforce scheduling capabilities into enterprise applications and automate complex operational decisions at scale.
- 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.
- 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.
- 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.
- What would you like us to deliver to you?
Stats & Key Facts
- #Timefold, a developer platform forvehicle routing and shift scheduling APIs, has raised $13 million in a Series Afunding round led by Alstin Capital, with participation from Kompas VC andcontinued bac...
- #Artificial Intelligence Timefold raises $13M Series A to scale scheduling optimisation infrastructure New funding will help Timefold expand its scheduling optimisation platform, enabling software teams to embed vehicle routing and workforce scheduling capabilities into enterprise applications and automate complex operational decisions at scale.
- #Tamara Djurickovic 2 hours ago Share Share Send email Copy link 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 .
- #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.
New funding will help Timefold expand its scheduling optimisation platform, enabling software teams to embed vehicle routing and workforce scheduling capabilities into enterprise applications and automate complex operational decisions at scale. Artificial Intelligence Timefold raises $13M Series A to scale scheduling optimisation infrastructure New funding will help Timefold expand its scheduling optimisation platform, enabling software teams to embed vehicle routing and workforce scheduling capabilities into enterprise applications and automate complex operational decisions at scale. Tamara Djurickovic 2 hours ago Share Share Send email Copy link 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.
For more details please read the original article at Tech.eu.
Continue Learning
Comments
Sign in to join the conversation