Sylcast
Tree monitoring technology for data-driven landscape management.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | N/A | Seed | |
| Total Funding | 000k | ||
Sylcast develops environmental monitoring systems that turn trees into live sensors to promote sustainable and resilient landscape management. The company originated as a research project at the Okinawa Institute of Science and Technology (OIST). In April 2025, Sylcast announced a pre-seed funding round of €300,000 ($330K) from Lifetime Ventures to advance its technology platform. The company is headquartered in Avon, France, and began full-scale operations from the OIST Innovation Incubator in Japan in April 2024.
The core of Sylcast's technology involves non-invasive, tree-mounted sensors that continuously measure micrometric changes in trunk circumference, tree movement like tilting and swaying, and ultra-local environmental data such as temperature, humidity, and pressure. This data is processed through advanced physics-based analytical models to interpret the trees' real-time responses to their environment. The platform also includes benchmarking tools to compare tree performance and resilience based on species, location, and growing conditions. By analyzing biological signals, Sylcast provides near real-time insights into tree water stress, health, and environmental responses.
Sylcast serves professionals who manage, monitor, or utilize trees, including city and community managers, farmers, landowners, foresters, researchers, and conservationists. The technology has several applications, such as monitoring heritage trees, detecting stress in roadside trees to enhance safety, optimizing irrigation for new plantations, assessing the impact of construction projects on nearby trees, and analyzing urban microclimates. The company's business model is centered on providing actionable data to support informed, proactive, and sustainable decisions for managing green assets.
Keywords: tree monitoring, environmental monitoring, climate tech, sustainable forestry, urban greening, smart agriculture, ecosystem resilience, IoT sensors, data analytics, plant health, water stress management, landscape management, green infrastructure, environmental data, forestry technology