Funding
Unlimited Industries Raises $12 M in Seed Funding to Build the AI-Powered Construction Company Aiming to Build America’s Future

Unlimited Industries has secured $12 million in seed funding, a raise that positions the San Francisco-based startup at the forefront of a new era in American construction. The round was co-led by Andreessen Horowitz and CIV, with additional investors joining to support the company’s mission: transforming how large-scale infrastructure is designed and built through an AI-native, vertically integrated model that challenges every entrenched assumption about the industry.
Across the country, infrastructure investment is reaching historic levels. Energy projects, data centers, advanced manufacturing facilities, and critical-minerals plants must be built at a scale and speed unseen in generations. Yet the systems responsible for delivering that infrastructure remain slow, fragmented, and inefficient. Projects that should take months often extend into years, bogged down by static design processes, disjointed handoffs between engineering and construction teams, and incentive structures that reward delays rather than prevent them. Unlimited Industries believes this moment calls for a fundamentally different approach — one built from the ground up around artificial intelligence.
Rebuilding Construction from First Principles
Unlimited Industries is not a traditional construction firm integrating software, nor a software company hoping to influence construction workflows from the outside. Instead, it is structured as an AI-native construction company — one that both designs and builds, using a proprietary platform to automate and optimize what has historically been one of the slowest phases of any large project: engineering design.
At the center of the company’s approach is an AI system capable of generating and evaluating hundreds of thousands of possible design configurations in parallel. Instead of relying on a single blueprint produced through months of manual drafting, the platform rapidly explores countless options, identifying layouts that optimize cost, safety, permitting pathways, environmental constraints, and long-term performance. The result is not just faster design, but smarter design — achieved before construction begins, when changes are cheapest and most impactful.
Unlimited’s vertical integration makes this possible. By housing engineering, AI development, and construction under one roof, the company eliminates the misaligned incentives that plague traditional cost-plus or change-order-driven models. When design and build teams are aligned around outcomes, iteration becomes an asset rather than a liability. The company describes this shift as treating physical infrastructure the way software teams treat code: something that can be continuously improved, versioned, and optimized.
Co-founder and CEO Alex Modon experienced firsthand how fragmented the construction industry remains. Coming from a background in engineering and entrepreneurship, he entered industrial construction expecting modern workflows, only to find outdated tools, manual processes, and a cultural resistance to iteration. Even in regions considered friendly to construction, projects dragged on far longer than they should have. That experience laid the foundation for Unlimited — not as a marginal improvement to legacy workflows but as a full reinvention of how infrastructure gets built.
Modon teamed up with Tara Viswanathan and Jordan Stern, who previously built and scaled Rupa Health from zero to millions in revenue before its 2024 acquisition. Their combined expertise — spanning engineering, AI, operations, and hyper-scaling — forms the backbone of Unlimited’s strategy.
Demonstrated Impact in the Field
While the company’s mission is expansive, its early results demonstrate the practical power of its model. On one industrial project, Unlimited cut pre-construction engineering time from six months to just a few weeks, enabling construction teams to break ground significantly earlier. On another, the company’s AI explored tens of thousands of design configurations and identified an optimal layout that reduced projected capital costs by more than half. These aren’t incremental improvements — they represent a step-change in how effectively large projects can be executed.
Each project feeds new data back into the platform, strengthening the models and refining cost, performance, and scheduling predictions. The system learns from every success and every constraint, making each subsequent project faster and more precise. Unlimited is initially focusing on building power and supporting infrastructure for data centers, critical-minerals processing, advanced manufacturing, and next-generation energy projects — areas where the country faces both immense demand and painful bottlenecks. Their customers range from century-old industrial companies to cutting-edge energy startups.
What This Raise Signals About the Future of Building
Unlimited Industries $12 million seed round represents a broader shift already underway across the construction and infrastructure ecosystem. Traditional building methods — linear, slow to iterate, and heavily reliant on manual coordination — are increasingly misaligned with the scale and speed of today’s infrastructure demands. As AI becomes more capable of evaluating design decisions, forecasting outcomes, and adapting to real-world constraints, its role in shaping physical projects will only grow.
The implications extend beyond the fortunes of any single company. If AI-driven modeling, rapid iteration, and integrated workflows become standard, large projects may begin to move through the planning and pre-construction phases far more quickly. Cost uncertainties could shrink, design risk could diminish, and teams may rely more heavily on real-time data rather than static assumptions.
More importantly, this shift has the potential to influence how governments, developers, and communities think about infrastructure itself. Instead of treating major projects as inherently slow, rigid, or vulnerable to overruns, stakeholders may come to expect adaptability and responsiveness as normal features of the process. The long-term impact could be a construction environment that is less about pushing against systemic friction and more about removing it altogether — not through promises of disruption, but through tools that simply make building faster, clearer, and more grounded in evidence.












