The lab is designed for efficient multi-party association and the core infrastructure of the lab is the KaHa platform and its artificial intelligence (AI) capabilities
KaHa, Singapore-based internet of things (IoT) and smart wearable platform company announced on Friday its plans to set up a multipartite research and innovation lab in Singapore. The lab would be designed after the IoT network philosophy and set up to meet the demands of market for rapid development and commercialisation.
Various public and private companies of the IoT development value chain will come together on a single platform to streamline the development ensuring faster testing, prototyping and go-to-market. The partners include A*STAR SIMTech, Curtis Australia, Bridgestone, MHA Manufacture de Haute Accessoirie Partners, Titan and Tex Line.
Commenting on the initiative, Pawan Gandhi, CEO and Founder of KaHa, said, “As a home-grown company committed to the development of the local IoT and wearable ecosystem, it’s important that we have core development capabilities here in Singapore that can capitalise on opportunities and respond to market demands quickly.”
“We are also actively engaging ETPL, the commercialisation arm of A*STAR to harness local industry expertise to boost the nation innovation engine. We have taken the philosophy of IoT and connectivity to heart, ensuring we have oversight and responsibility each step of the way, while becoming even more nimble and flexible to cater to manufacturers’ needs faster,” he stated.
Opportunities for upskilling
The lab is designed for efficient multi-party association and various development points will be onsite. The core infrastructure of the lab is the KaHa platform and its artificial intelligence (AI) capabilities. It is situated at the one-north technology center of Singapore. The initial targeted projects are in healthcare and wellness, sensor hub, smart apparels and power consumption.
The lab will be managed by a leader, having end-to-end IoT experience. The aim of the lab is to provide opportunities for upskilling and jobs. In addition, the lab will conduct hackathons and provide software development kits (SDK), with latest tools in the fields including machine learning (ML), AI, NLP, Big Data and health-oriented algorithms.