MeltPlan cofounders Tanmaya Kala and Kanav HasijaConstruction tech startup MeltPlan has raised $10 million in funding in a round led by Bessemer Venture Partners, with participation from Europe-based venture capital firm Noa.
The startup plans to utilise the funding to enhance its tech offering, strengthen its vertical AI stack, and expand its team.
Simply put, MeltPlan has an artificial intelligence (AI) system that optimises decision-making before construction begins.
“Construction problems don’t fail at execution; they fail at planning. Unlike software, you can’t fix a “bug” after a building is constructed. Late-stage changes in this sector are extremely costly,” said Kanav Hasija, cofounder and chief executive of MeltPlan, in a conversation with ET.
“We are building an AI-native planning engine to help stakeholders surface risks upfront and make better decisions before construction begins,” he added.
Prior to MeltPlan, Hasija founded Innovaccer, a healthtech startup that offered AI infrastructure to automate tasks in the healthcare segment.
Founded in 2025 by Hasija and Tanmaya Kala, a civil engineer who previously worked at DPR Construction, Meltplan has so far raised $14 million in funding. The team currently has 14 employees, primarily in India, and the company plans to expand it to 30.
MeltPlan has clients in the US and UAE, with plans to tap into the Indian market in the coming years.
The platform includes four integrated systems: a code system for compliance pathways, a cost system for quantity surveying and bid scoping, a schedule system for scenario-based sequencing, and a value system for impact analysis and optimisation.
“We have built tools for compliance and cost. We are now building the scheduling and value systems to complete the planning engine,” said Hasija.
“Built environment workflows are full of irreversible decisions made under uncertainty,” said Pankaj Mitra, partner at Bessemer Venture Partners. “MeltPlan is approaching preconstruction as a system, not a phase, building a visionary ‘planning engine’ layer that helps teams quantify tradeoffs early and reduce downstream volatility.”
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