Singapore Subsidizes Robot Leasing for Construction Firms

Singapore's Building and Construction Authority (BCA) has introduced a Robot Leasing Support Scheme designed to lower the cost of renting automation equipment for the built-environment sector. Rather than funding new technology development, the scheme focuses squarely on the economics of leasing already-proven robots.

Under the program, the government will co-fund robotics solution providers that lease systems to construction companies operating in Singapore. Eligible equipment includes concrete-levelling robots and tile-grouting robots, with government support covering as much as 50% of the cost of each machine leased.

The scheme draws its funding from the existing Built Environment Technology and Capability grant, which already backs robotics and automation adoption alongside the separate Productivity Solutions Grant. BCA said the new leasing scheme was launched in response to rising demand for leasing services, with the goal of letting more firms use proven robotic systems while making it cheaper for providers to scale up their leasing operations.

The leasing subsidy sits alongside Singapore's broader Built Environment Accelerate to Market Programme (BEAMP), a multi-agency effort involving BCA, JTC Corporation, and Enterprise Singapore that has run since 2019. That programme has generated more than 100 industry challenge statements and paired around 80 built-environment firms with technology innovators, guiding projects from co-development through pilot testing to commercial deployment.

One outcome of that pipeline was a collaboration between construction firm Woh Hup and Fabrica AI, which produced a tile-grouting robot. BCA said an updated version of the machine has reached up to twice the productivity of its predecessor and is already deployed on projects including One Holland Village.

According to BCA, the leasing scheme and the BEAMP pathway are meant to work together: one helps develop robotic solutions through piloting, while the other lowers the financial barrier for companies to actually adopt them once proven, without needing to buy each machine outright.

Sources: Digital Watch Observatory — original article.