
Timefold
Open-source platform that uses artificial intelligence to solve complex scheduling and planning problems.
EUR | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Company filings or news article
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Timefold is a startup that specializes in optimizing operations and scheduling through advanced artificial intelligence (AI) solutions. The company offers an open-source AI solver designed to enhance operational planning, making it more efficient and adaptable. Timefold is particularly suited for businesses that require continuous planning and need to publish schedules regularly, such as logistics companies, manufacturing firms, and service providers.
The company operates in the AI and software development market, focusing on operational planning rather than just strategic or tactical planning. This means Timefold helps businesses manage their day-to-day operations more effectively, ensuring that schedules are flexible and can adapt to changes quickly.
Timefold's business model is based on providing an open-source platform that developers can integrate into their existing systems using Java, Python, or Kotlin code. By offering an open-source solution, Timefold allows businesses to customize the software to meet their specific needs. The company generates revenue through various channels, including offering premium features, support services, and consulting.
The startup serves a diverse range of clients, primarily those in industries where efficient scheduling and operational planning are crucial. This includes sectors like logistics, manufacturing, healthcare, and any other industry that relies heavily on optimized scheduling to improve productivity and reduce costs.
In summary, Timefold is revolutionizing the way businesses approach operational planning by providing a flexible, open-source AI solution that can be easily integrated into existing systems. This enables companies to maintain agile and efficient operations, ultimately leading to better results and a more sustainable future.
Keywords: AI solver, operational planning, open-source, scheduling, Java, Python, Kotlin, logistics, manufacturing, continuous planning.