The built environment is responsible for nearly 39% of global CO₂ emissions, and its footprint continues to grow. From design and construction to operations, demolition, and renewal—we repeatedly saw the same issues: fragmented data, siloed decision-making, inefficient use of resources, and legacy practices that prioritise speed over sustainable choices.

Given the industry’s scale, complexity, and pace, driving a meaningful change requires urgency.

It means bringing disconnected data together, learning from decisions made across buildings and assets, and embedding intelligence throughout the lifecycle. A future where intelligent technologies work together to close the loop from creation to renewal (cradle to cradle), making sustainability a built-in outcome, rather than a retrofit.

Drawing inspiration from nature, our ambition is to bring that same balance to the built environment—through intelligent systems that continuously learn, adapt, and optimise.

Nature has always been the greatest designer. Every ecosystem is efficient, circular, self-sustaining, and adaptive.

MoruBld AI takes this cue, using data, AI, and sustainable design principles to reimagine how we plan, construct, and maintain the built environment — transforming it from a source of depletion to one of resilience.

The name blends two words:

“Moru”, inspired by morula, the Setswana word for the Marula tree ( botanical name - Sclerocarya birrea, pronounced as Morula)— a life-giving, resilient species that thrives in balance with its ecosystem.

“Bld”, short for Build, represents human creation, design, and the built environment.

Our Genesis

Team

Mohit KHemani

Co-founder & Chief Executive Officer

Mohit brings extensive leadership experience across enterprise software, AI, IoT, and automation-led industries, with a strong track record in P&L management, product strategy, and business growth, including deep experience across the construction and real estate sectors.

RUCHIKa Malhotra

Co-founder & Sustainability Lead

Ruchika brings strong expertise in ESG materiality and sustainability frameworks, with a proven track record in the built environment sector. She aligns AI and sustainability to identify and deliver high-value use cases.

Approach

We begin by weighing the materiality factors (both impact & financial) on the focus asset class.

Materiality Assessment

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Identify High Impact Use Cases

Basis the outcome of the assessment, high impact use cases are identified.

Data structuring, connected interfaces and real problem solving with definitive value created as co-owners

Co-build with operator

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