Scoop confirmed: AI platform MeltPlan raises $10 million to make construction boring

Scoop confirmed: AI platform MeltPlan raises $10 million to make construction boring


MeltPlan, a pre-construction AI platform, today said it has raised $10 million in a Seed funding round led by Bessemer Venture Partners, with participation from noa.

The latest round brings its all-time raise to $14 million.

ISN was the first to report on MeltPlan’s fundraise on February 21, 2026.

The startup will use the funds to to further develop what it calls the “planning engine” for the $14 trillion construction industry, an AI system designed specifically to optimize decisions before construction begins.

Additionally, the capital will accelerate MeltPlan’s product development across code, cost, schedule, and value decision systems.

While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer – software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable.

“Construction doesn’t fail because teams are not skilled or execute poorly,” said Kanav Hasija, Co-founder and CEO of MeltPlan. “It fails because preconstruction teams are fragmented and commit too early with incomplete information. We’re building an AI system that allows teams to evaluate constraints, run scenarios, and align before plans are frozen.”

Kanav previously co-founded a $3 billion healthtech startup Innovaccer. He is joined by Tanmaya Kala, Co-founder and COO, a Stanford educated civil engineer.

“Construction should be boring,” said Hasija. “Planning should be intense. If your construction phase is stressful, something went wrong earlier.”

“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.”

Unlike general-purpose AI tools adapted for construction, MeltPlan is building a construction-native AI system that is designed to understand building codes, materials, sequencing, procurement, and construction methods.

The Planning Engine will have four integrated systems, including code system, cost system, schedule system, and value system.

Rather than digitizing existing workflows, MeltPlan aims to help teams simulate outcomes before committing to them.

“Preconstruction is treated like a phase,” Kala said. “But it’s actually the operating system of the project. When decisions evolve upstream, execution downstream becomes boring – and that’s a good thing.”



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