Pre-construction AI startup MeltPlan has secured $10 million in seed funding in a round led by Bessemer Venture Partners, with participation from noa. The latest investment brings the company’s total funding to $14 million, signaling strong investor confidence in its vision to transform construction planning through artificial intelligence.
The company plans to use the fresh capital to accelerate product development and build what it calls a comprehensive AI-driven planning engine for the construction sector. This system will integrate code compliance, cost analysis, scheduling intelligence, and value optimization into a unified decision-making platform.
Building an AI System Native to Construction
Founded in 2025 by Kanav Hasija and Tanmaya Kala, MeltPlan is developing a construction-native AI platform designed to understand the complexities of building codes, materials, procurement workflows, sequencing, and construction methodologies.
Unlike generic AI tools, MeltPlan’s system is trained specifically for the built environment. According to the company, its AI has already demonstrated significant capability by scoring 95% or higher on building inspector examinations, showcasing its ability to interpret regulatory frameworks and compliance standards accurately.
The startup is now expanding its AI expertise across multiple construction trades and disciplines to support comprehensive pre-construction planning.
Addressing the Missing Layer in Construction Technology
Construction technology has traditionally focused on two primary areas: design software that enhances aesthetics and usability, and project management software that manages execution and cost control. However, decision-making during the early planning stages often remains fragmented and manual.
MeltPlan aims to bridge this gap by building software that optimizes decisions before project scope is finalized, procurement begins, and change orders create cost overruns. By introducing AI-driven intelligence upstream in the project lifecycle, the company seeks to reduce inefficiencies that typically emerge later during construction.
The goal is to enable better trade-off analysis, early constraint identification, and stakeholder alignment before critical commitments are made.
The Planning Engine: Four Integrated Systems
MeltPlan’s AI-powered Planning Engine is designed around four interconnected systems:
1. Code System
This module provides context-aware compliance pathways for architects, engineers, and inspectors. By embedding regulatory intelligence into early-stage planning, the system aims to minimize compliance risks and reduce approval delays.
2. Cost System
The cost intelligence layer evaluates budget implications of design and planning decisions in real time, helping project stakeholders understand financial trade-offs before locking in scope.
3. Schedule System
The scheduling engine models sequencing and timeline implications, allowing teams to optimize project timelines and anticipate execution challenges.
4. Value System
The value system focuses on delivering optimization recommendations for owners and developers. It assesses the impact of planning decisions on overall project value and long-term performance.
Together, these systems aim to provide a unified decision-making framework for the pre-construction phase.
Reducing Change Orders and Rework
One of the most persistent challenges in construction projects is late-stage rework caused by inadequate early planning. Change orders, design revisions, and coordination breakdowns often inflate budgets and delay completion timelines.
MeltPlan’s approach is to make construction “boring” by introducing rigor and predictability into the planning process. By surfacing constraints and trade-offs early, the platform seeks to align stakeholders before finalizing plans, reducing the likelihood of costly adjustments during execution.
This proactive approach could significantly improve efficiency across large-scale commercial and infrastructure projects.
Enterprise Partnerships and Global Reach
MeltPlan has already begun collaborating with leading enterprise contractors, including DPR Construction in California and Innovo Group in the UAE, to support planning and pre-construction workflows.
These partnerships demonstrate growing industry interest in AI-driven decision systems that can enhance project predictability and reduce risk exposure.
As global construction projects become more complex and regulatory requirements tighten, demand for intelligent pre-construction tools is expected to rise.
The Growing Role of AI in Construction
The construction industry, historically slow to digitize compared to other sectors, is now witnessing increased adoption of artificial intelligence and automation. From predictive analytics in project management to AI-powered design optimization, technology is reshaping how buildings are planned and delivered.
However, much of the innovation has focused on post-design execution. MeltPlan’s focus on upstream planning introduces a new layer of intelligence aimed at minimizing downstream disruptions.
By integrating compliance, cost, scheduling, and value intelligence into a single AI-driven engine, the company is positioning itself at the forefront of next-generation construction technology.
Looking Ahead
With $14 million in total funding and backing from prominent investors, MeltPlan is well-positioned to scale its AI platform and expand across global construction markets.
As the company continues refining its planning engine and broadening its trade-level expertise, it aims to redefine how construction decisions are made before ground is ever broken.
If successful, MeltPlan’s AI-native approach could significantly reduce inefficiencies, improve project outcomes, and reshape the economics of construction planning worldwide.
Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape.