Wavemaker Impact, a Southeast Asian climate tech venture builder, has launched Nūl Global Technologies Pte. Ltd. (Nūl), an AI-driven climatetech startup with a $500,000 pre-seed investment.
The AI-driven climate tech startup aims to help fashion brands and apparel companies reduce overproduction and improve inventory management through advanced AI technology.
Enabling companies to forecast demand more accurately
Co-founded by Malini Kannan and Raghav M.S. in Singapore, Nūl enables fashion companies to forecast demand more accurately, plan production effectively, and optimize inventory allocation across channels.
By integrating agentic AI with the brand’s existing operations, the startup transforms data into actionable insights that help minimise waste while maximising the brand’s objectives.
Tackling the fashion industry’s environmental impact
The fashion industry, which accounts for 6-10% of global carbon emissions, is facing significant challenges. The processes involved in creating a single item of apparel can emit up to 6 kg of CO2, and approximately 30% of fashion products go unsold, leading to waste through markdowns, recycling, or disposal. This loss can account for 7-10% of a brand’s revenue.
At the same time, brands often struggle with stockouts of bestsellers, missing out on potential revenue. Nūl said its technology seeks to balance these two challenges, reducing waste while maximising profitability.
“Overproduction is detrimental to both business and the environment,” said Malini Kannan, Co-founder and CEO of Nūl. “Traditionally, overproduction has been seen as an inevitable byproduct of legacy systems and long supply chains. However, we believe that next-generation technologies like ours can help fashion brands bridge these gaps significantly.”
Integrating AI with fashion operations
Despite the size of the global fashion market—worth $2 trillion—few tailored solutions exist for inventory management that offer the depth of intelligence required to manage stock across size, style, color, and location.
The startup addresses this gap by co-developing solutions with medium-sized fashion brands and keeping operational challenges at the forefront of its approach.
“Nūl is the first to integrate advanced decision science with agentic AI specifically designed for the fashion industry,” said Raghav M. S., Co-founder and CTO of Nūl. “Rather than simply providing insights, our platform enables brands to seamlessly apply them to their daily operations. Nūl works alongside merchandising, planning, and allocation teams, continuously learning and supporting their decisions.”
Nūl is currently piloting its solution with several apparel brands in Southeast Asia. One key challenge addressed during these trials is the end-of-season inventory rebalancing across stores and channels.
The startup’s platform allows brands to efficiently redistribute inventory, moving stock to locations where it is more likely to sell quickly, resulting in a 10% revenue uplift in these trials.
Enhancing pilot projects
The startup will use the investment to enhance its pilot projects in Southeast Asia, expand its partnerships, and commercialise its solution on a global scale.
“The average apparel production lead time is 2.5 times longer than the lifespan of a trend—leading to overproduction, significant revenue loss, and environmental impact. Nul’s data-driven approach demonstrates strong potential to help medium-sized brands improve demand planning and inventory allocation, boosting sell-through rates by up to 50% while potentially avoiding 7,500 tCO2e of overproduction-related emissions each year per brand,” said Marie Cheong, Founding Partner at Wavemaker Impact.
“We’re confident that Malini’s and Raghu’s combined cross-sector expertise and technical experience will unlock this opportunity.”
