Timefold
Building the scheduling optimisation platform for the AI era
The problem
Scheduling is foundational to how physical industries operate. Every field service technician, every shift roster, every delivery route depends on software making thousands of complex decisions correctly, every time. AI is changing how that software gets built. But LLM-generated schedules are probabilistic. In mission-critical environments, that is not acceptable. A schedule that is almost correct causes real operational damage: missed SLAs, compliance failures, and disrupted workforces. At the same time, traditional scheduling solutions remain inaccessible. They require specialist mathematicians, expensive consultants, and months of implementation. Most software teams have no practical way to embed enterprise-grade optimisation into their applications. The gap between what operations require and what software teams can build is widening.
The solution
Timefold gives software teams the infrastructure to solve it. Its API-first platform lets developers embed enterprise-grade vehicle routing and shift scheduling directly into their applications, without needing expertise in complex mathematical optimisation. The platform is built on 18 years of open-source development and handles any constraint, at any scale, with deterministic correctness guaranteed every time. As AI agents become standard in software development, Timefold's vision is clear: scheduling optimisation becomes foundational infrastructure, and Timefold becomes the default platform to build, deploy, and operate it. In 2025, ARR grew 4x. Enterprise customers including NEC Software Solutions, CBRE, Lufthansa, Thales, and Subaru run mission-critical scheduling workflows on Timefold today.
