AI-enabled software combined with connected hardware is helping organizations across Asia reduce energy consumption and emissions by providing real-time visibility into how buildings and vessels actually perform. Ampotech, a Singapore-based energy technology company, received the Special Recognition Award at the Sustainability Impact Awards 2026 for demonstrating how Internet of Things (IoT) sensors paired with artificial intelligence can turn raw operational data into actionable sustainability improvements.

What Makes This Approach Different From Traditional Energy Monitoring?

Most organizations track energy consumption after the fact, reviewing monthly utility bills or quarterly reports. Ampotech's platform takes a fundamentally different approach by integrating live data from renewable energy assets, electrical equipment, and building or vessel systems into a single unified environment. This real-time visibility allows facility managers and operators to identify inefficiencies as they happen, not weeks later. The company serves clients across real estate, manufacturing, and renewable energy sectors in six countries throughout the Asia Pacific region.

The award, presented on September 23, 2026, by The Business Times and UOB, recognized Ampotech's ability to combine connected hardware, operational data, and AI-enabled software into scalable solutions that help organizations improve energy performance, operational visibility, and long-term sustainability. This marks a shift in how businesses approach decarbonization, moving beyond simple energy tracking to predictive optimization.

How Are Companies Actually Using This Technology?

• Greenfield Commercial Development: Labrador Tower, a new commercial building in Singapore, required Ampotech's solution to be progressively implemented and commissioned alongside the overall construction schedule, demonstrating how AI-enabled energy management can be integrated from the ground up rather than retrofitted into existing buildings.
• Electric Vessel Fleet Management: Voltai, a first-of-its-kind electric harbour craft launched in 2025, needed specialized fleet management systems designed in close collaboration with shipyard partners, showing how the technology extends beyond traditional real estate into emerging maritime applications.
• Operational Data Analysis: The platform analyzes performance across different physical environments while working with engineering and project partners to deliver practical sustainability outcomes, enabling organizations to identify cost savings and operational improvements based on real data rather than assumptions.

These two flagship projects highlight how the same core technology can adapt to vastly different environments. A greenfield building presents different challenges than retrofitting an existing structure, and an electric vessel requires entirely different monitoring systems than a commercial office tower. Yet Ampotech's AI-enabled approach proved flexible enough to handle both scenarios.

"We are honoured to receive the Special Recognition Award from the Sustainability Impact Awards. This achievement reflects the commitment of our team, customers and partners to using technology to turn sustainability goals into action and real-world impact," said William Temple, Co-founder and CEO of Ampotech.

William Temple, Co-founder and CEO of Ampotech

Why Does This Matter for Businesses Looking to Cut Emissions?

As organizations across Asia face mounting pressure to reduce energy consumption and emissions, many struggle with the gap between sustainability ambitions and day-to-day operations. A company might commit to cutting carbon emissions by 30 percent, but without real-time visibility into how its systems actually perform, that goal remains abstract. Ampotech's approach bridges that gap by combining IoT sensors, AI analysis, and energy expertise to help businesses understand their actual energy and asset performance, identify improvement opportunities, and take action based on real operational data.

The company has already earned recognition in the region, including an ASEAN Energy Award in 2022, and is supported by investors based in Singapore, Indonesia, and Vietnam. The Special Recognition Award (SMEs) marks another milestone in Ampotech's efforts to advance smarter energy management across the region, suggesting that this model of AI-enabled, data-driven decarbonization is gaining traction among both businesses and sustainability leaders.

What Do Software Developers Think About AI's Environmental Impact?

Beyond corporate energy management, a broader conversation is emerging among the people who build AI systems themselves. A survey of 1,039 GitHub users conducted jointly by GitHub, Inc. and the Yale Program on Climate Change Communication during summer 2026 established a baseline measure of software developers' climate change beliefs, their views on AI's environmental impact, and their perceptions of software efficiency as a lever for sustainability. The research team included Grace Vorreuter and Paull Young from GitHub's Customer Research Team, along with Marija Verner, Jennifer Marlon, Emily Goddard, Jennifer Carman, Seth Rosenthal, and Anthony Leiserowitz from Yale's Program on Climate Change Communication.

This survey represents one of the first systematic efforts to understand how the people building AI systems think about environmental responsibility. Developers are increasingly aware that the code they write, the models they train, and the infrastructure they deploy all carry environmental costs. By capturing their beliefs, concerns, and expectations for employers, cloud providers, governments, and platforms like GitHub, the research provides insight into whether the tech industry's workforce sees sustainability as a core responsibility or a secondary concern.

The convergence of these two developments, one focused on practical energy management and the other on developer attitudes toward sustainability, suggests that AI's environmental impact is becoming a mainstream business and technical concern. Companies like Ampotech are proving that AI can be part of the solution to energy efficiency, while surveys like the GitHub study show that the people building AI systems increasingly expect their employers and platforms to take environmental responsibility seriously. Together, these trends point toward a future where energy efficiency and sustainability are embedded into how AI systems are designed, deployed, and managed from the start.