The Funding Round

Timefold's Series A was led by Alstin Capital, with Kompas VC joining as a co-investor and existing backers Lakestar and Smartfin participating . The round was announced from the company's headquarters in Ghent, Belgium .

The €11M-equivalent round (approximately $13M at current exchange rates) is explicitly earmarked to accelerate US expansion and platform product development .

Platform & Capabilities

Timefold provides an API-first vehicle routing and shift scheduling optimization platform . Key capabilities include:

• Pickup & Delivery Routing API — automatically assigns jobs to drivers and vehicles, optimizing for productivity and reduced travel time
• Shift Scheduling — handles real-world constraints, changing demand, disruptions, and workforce complexity
• Open-source Solver (Apache 2.0) — for building custom optimization models in Java or Kotlin; covers vehicle routing (VRP), maintenance scheduling, job shop scheduling, and employee rostering
• Stateless REST over JSON — technology-agnostic, designed for production scale

Kompas VC describes the platform as "the scheduling optimisation platform for the AI era," letting developers embed enterprise-grade routing and scheduling without needing expertise in complex mathematical optimization .

The technology is built on 18 years of open-source development (originating from the OptaPlanner project, forked by Timefold in 2023) and handles any constraint, at any scale, with deterministic correctness guaranteed every time .

Commercial Momentum

Timefold's annual recurring revenue (ARR) grew 4x in 2025 . Enterprise customers embedding Timefold APIs into mission-critical scheduling workflows include NEC Software Solutions, CBRE, Lufthansa, Thales, Orange Telecom, ADP, and Subaru . According to the company's own job postings, it is targeting growth from approximately $3M to $10M ARR .

A separate source estimated Timefold's revenue at $3.3M as of September 2025 with a 30-person team . The company's open-source solver schedules millions of visits, shifts, or tasks to employees, vehicles, or machines in production every day .

CEO Vision: Optimization as Foundational Infrastructure

Maarten Vandenbroucke, CEO and co-founder, framed Timefold's mission in clear terms:

"Schedules run the world. 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 fundamental infrastructure."

Vandenbroucke has argued that while AI agents offer new possibilities for autonomous software behavior, LLM-generated schedules often fall short due to their probabilistic nature — and Timefold fills that gap with deterministic, constraint-aware optimization .

Competitive Positioning

Timefold sits at the intersection of several trends: the rise of API-first infrastructure, the shift toward autonomous software agents, and the need for deterministic decision-making in enterprise operations. By offering both an open-source solver (for developers who want to build custom models) and managed APIs (for teams that want plug-and-play scheduling), Timefold aims to become the standard optimization layer for enterprise applications .

The company's approach stands in contrast to LLM-based scheduling tools, which Vandenbroucke argues cannot reliably handle enterprise constraints at scale .

The Funding Round

Timefold's Series A was led by Alstin Capital, with Kompas VC joining as a co-investor and existing backers Lakestar and Smartfin participating . The round was announced from the company's headquarters in Ghent, Belgium .

The €11M-equivalent round (approximately $13M at current exchange rates) is explicitly earmarked to accelerate US expansion and platform product development .

Platform & Capabilities

Timefold provides an API-first vehicle routing and shift scheduling optimization platform . Key capabilities include:

• Pickup & Delivery Routing API — automatically assigns jobs to drivers and vehicles, optimizing for productivity and reduced travel time
• Shift Scheduling — handles real-world constraints, changing demand, disruptions, and workforce complexity
• Open-source Solver (Apache 2.0) — for building custom optimization models in Java or Kotlin; covers vehicle routing (VRP), maintenance scheduling, job shop scheduling, and employee rostering
• Stateless REST over JSON — technology-agnostic, designed for production scale

Kompas VC describes the platform as "the scheduling optimisation platform for the AI era," letting developers embed enterprise-grade routing and scheduling without needing expertise in complex mathematical optimization .

The technology is built on 18 years of open-source development (originating from the OptaPlanner project, forked by Timefold in 2023) and handles any constraint, at any scale, with deterministic correctness guaranteed every time .

Commercial Momentum

Timefold's annual recurring revenue (ARR) grew 4x in 2025 . Enterprise customers embedding Timefold APIs into mission-critical scheduling workflows include NEC Software Solutions, CBRE, Lufthansa, Thales, Orange Telecom, ADP, and Subaru . According to the company's own job postings, it is targeting growth from approximately $3M to $10M ARR .

A separate source estimated Timefold's revenue at $3.3M as of September 2025 with a 30-person team . The company's open-source solver schedules millions of visits, shifts, or tasks to employees, vehicles, or machines in production every day .

CEO Vision: Optimization as Foundational Infrastructure

Maarten Vandenbroucke, CEO and co-founder, framed Timefold's mission in clear terms:

"Schedules run the world. 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 fundamental infrastructure."

Vandenbroucke has argued that while AI agents offer new possibilities for autonomous software behavior, LLM-generated schedules often fall short due to their probabilistic nature — and Timefold fills that gap with deterministic, constraint-aware optimization .

Competitive Positioning

Timefold sits at the intersection of several trends: the rise of API-first infrastructure, the shift toward autonomous software agents, and the need for deterministic decision-making in enterprise operations. By offering both an open-source solver (for developers who want to build custom models) and managed APIs (for teams that want plug-and-play scheduling), Timefold aims to become the standard optimization layer for enterprise applications .

The company's approach stands in contrast to LLM-based scheduling tools, which Vandenbroucke argues cannot reliably handle enterprise constraints at scale .