Timing
Timing provides navigation for service providers by creating an efficient route for the service representative and learning the behavior patterns of each individual.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
* | £2.9m | Seed | |
| Total Funding | 000k | ||
| USD | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | - | (50 %) |
| EBITDA | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Timing is a cutting-edge AI-driven dynamic scheduling platform designed to revolutionize the field service industry. Founded by Maayan Darki and Ilan Fridman, the company aims to enhance customer experience by providing efficient and transparent service processes. Timing serves field service providers who need to manage their workforce and resources effectively. The platform operates in the SaaS (Software as a Service) market, offering a pay-as-you-go model that ensures cost-effectiveness for its clients. Timing's business model revolves around subscription fees for its platform, which helps clients schedule tasks, reduce travel time, and eliminate delays. The platform is user-friendly, requiring no prior knowledge or special training, and can be integrated via a REST API or other methods. Timing's three-layered solution addresses the entire service process, making it a comprehensive tool for field service management.
Keywords: AI-driven, dynamic scheduling, field service, SaaS, resource optimization, travel time reduction, customer experience, pay-as-you-go, REST API, service transparency.