Sycon
Sycon's Sybox sensor enables real-time data analysis and management of manufacturing activities to optimize production efficiency and quality.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | N/A | Support Program | |
| Total Funding | 000k | ||
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Sycon SAS, a French technology firm founded in 2023 by Antoine Caufourier and Timothée Furois, specializes in Industrial Internet of Things (IIoT) solutions. Both founders bring relevant expertise to the venture; Caufourier has a background in embedded systems and industrial IoT, while Furois' experience lies in connected objects and wireless networks. Their combined knowledge underpins the company's core mission to simplify data connectivity within industrial environments.
The company targets the industrial sector, offering a plug-and-play system designed to connect a wide array of factory components, including legacy machinery, production systems, vehicles, and personnel. This is achieved without necessitating expensive equipment replacement or the installation of complex infrastructure. Sycon's business model revolves around providing hardware and access to its data platform, addressing a critical need for accessible and actionable data in often restrictive industrial settings.
Sycon's flagship offering is an all-in-one connected box equipped with LTE, Bluetooth, and multiple sensors. A key technological differentiator is its use of a private DECT NR+ mesh network, which ensures a fully autonomous and resilient on-site communication system. Data processing can be handled either in the cloud or on-premise, offering flexibility to clients. The platform features an intuitive interface and an open API, allowing for straightforward integration with existing enterprise systems like CMMS, ERP, and MES. Practical applications include monitoring production on older machines to enhance quality and reduce waste, implementing predictive maintenance based on environmental and machine data (such as temperature, vibration, and current), and facilitating continuous improvement in R&D and production sites by correlating machine performance with environmental factors.
Keywords: Industrial IoT, plug-and-play, DECT NR+, predictive maintenance, asset tracking, factory connectivity, legacy machinery, data accessibility, mesh network, on-premise data