AI-Powered Robotics Reshape Facility Management with KABAM Deployments
Image Source: Kabam
Singapore-based KABAM Robotics has detailed applications of AI-integrated robots in facility management, focusing on autonomous navigation, inspections and surveillance to address labour constraints and operational efficiencies.
In a blog post on its website, the company described how such technology supports 24/7 patrols, anomaly detection and predictive maintenance in sectors like healthcare, logistics and commercial buildings.
Robotics Applications in Facility Operations
KABAM's systems feature robots with cameras, sensors and AI for independent navigation and issue identification, including leaks, faulty equipment or unauthorized entry. Integration with IoT devices aids data collection for energy management and regulatory compliance.
The indoor Co-Lab robot includes LiDAR, ultrasonic sensors and extended operational time per charge, while the outdoor Halo model is designed for all-terrain use with weatherproof capabilities.
These capabilities facilitate alerts to control centers, supporting quicker responses in environments requiring constant monitoring.
Company Background and Evolution
KABAM Robotics was founded in December 2020 by Kelvin Wee, Michael Sayre and Benjamin Chia as a division of engineering firm Patec Group to mitigate manpower shortages in security and facility services.
Based in Singapore with international operations in North America, South America, the Middle East, Asia and Europe, KABAM merged with teleoperation software firm Cognicept Systems in March 2022. The merger incorporated Cognicept's remote intervention tools into KABAM's platforms, improving fleet oversight and diagnostics.
KABAM's Smart+ cloud system coordinates robot tasks with building systems, including mission scheduling, elevator access and AI for detecting items like spills or unattended objects.
Deployments include SingHealth hospitals in Singapore, where robots patrol at Singapore General Hospital, Changi General Hospital and KK Women’s and Children’s Hospital, offering continuous feeds and reducing staff risk exposure.
Drivers Behind Adoption
Manpower shortages and cost pressures in facility management have spurred AI robotics interest, especially in dense urban areas like Singapore, where organizations are increasingly exploring such tools for security upgrades.
KABAM employs generative AI via Amazon Web Services' Bedrock API and SageMaker for enhanced processing and decision-making, overcoming traditional surveillance drawbacks like coverage gaps. This enables analytics to predict maintenance, as seen in manufacturing and healthcare applications that lower expenses through automated monitoring.
Broader Industry Impact
AI robotics adoption in facility management aids sustainability via real-time energy tracking and system adjustments to reduce waste, supporting initiatives like Singapore's smart nation goals.
Challenges involve upfront costs and training for hybrid human-robot operations. Benefits include consistent coverage, with deployments showing manpower reductions and productivity gains.
In healthcare settings, robots provide initial response layers, transmitting data to operators and limiting direct interactions.
Outlook and Emerging Trends
Analysts anticipate wider AI use for predictive maintenance and on-device processing in facility robotics, with developments in digital twins for simulations and self-optimizing buildings.
Trends point to deeper learning for risk prediction and better system compatibility, expanding across industries as automation advances. AI may evolve facility roles toward system supervision, balancing efficiency with human oversight.
KABAM's recognitions, including Security Technology Firm of the Year at the 2024 Singapore Security Industry Awards and two accolades at the 2025 SBR Technology Excellence Awards for Connectivity in Real Estate and Emerging Technology in Safety & Security, highlight its role, though growth hinges on affordability and AI governance.
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