
SpaceAge Labs
Provides an end to end IoT platform, sensors, low power wireless connectivity, cloud and applications.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |





USD | 2020 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Founded in 2016, SpaceAge Labs is a Singapore-based company specializing in Internet of Things (IoT) and Artificial Intelligence (AI) solutions for monitoring and maintaining remote and distributed industrial assets. The company was established by a team of engineers: Deepak Pitta (CEO), Ananth Subba (CTO), Leela Krishna Sriramula (CBO), and Sashikumar Y (CPO). Initially operating as a consulting firm designing end-to-end IoT solutions, SpaceAge Labs pivoted in 2017 to become a product-focused company.
SpaceAge Labs provides an integrated hardware and software platform designed to enhance operational efficiency and safety for its clients. The company's business model centers on its flagship product, remoteEye, a sensor-agnostic IoT/AI platform. This platform comprises rEye IoT Nodes, which are low-power wireless devices that collect and transmit data from industrial sensors, and a cloud-based software that uses AI and machine learning for data analysis, visualization, and predictive maintenance. The system is designed to be user-friendly for system integrators, requiring no programming knowledge. Revenue is generated by providing these end-to-end solutions to enterprise customers.
The company's offerings are targeted at governments and corporations in sectors such as water and wastewater management, urban greenery and landscaping, and facilities management. For instance, they have worked with Singapore's National Parks Board (NParks) to digitalize grass-cutting operations and with the Public Utilities Board (PUB) to monitor the wastewater network for overflow events. Another key product, hydroEyeAI, is a cloud-based AI digital twin technology that offers real-time visibility of water distribution networks. The platform's core benefits include increased asset uptime through data-driven predictive maintenance, reduced costs by minimizing manpower requirements, and enhanced safety via real-time asset visibility. In March 2022, the company secured US$1.25 million in seed funding to support team growth, international expansion into Australia and the U.S., and the rollout of new pilot projects.
Keywords: IoT platform, AI solutions, remote asset monitoring, predictive maintenance, water management, smart city infrastructure, facilities management, urban greenery, industrial sensors, LPWAN, Deepak Pitta, Ananth Subba, remoteEye, hydroEyeAI, asset management, data analytics, wireless IoT, Singapore, operational efficiency, wastewater management