The global transition to green energy is currently stalling not from a lack of capital, ambition, or technology, but from a bottleneck buried under bureaucratic friction. While global investors have channeled hundreds of billions of dollars into renewable energy development, a staggering 80% of proposed solar, wind, and battery storage projects fail before a single shovel strikes the ground. The modern energy transition is being choked out during the earliest phases of development, trapped in a multi-year purgatory of local zoning disputes, environmental impact assessments, and fractured utility interconnection queues.
Historically, moving a clean energy project from initial land site selection to Notice to Proceed (NTP) status required between two and five years of manual due diligence. Today, as the explosive growth of artificial intelligence drives unprecedented demand for power, hyperscale data center operators are colliding with green energy developers in a high-stakes race to secure remaining grid capacity. In this hyper-competitive landscape, speed is the ultimate metric of survival. The companies capable of accelerating data evaluation from months to minutes are the ones that will successfully deploy the infrastructure required to power the next generation of the global economy.
The Multi-Year Purgatory of the Grid
Before software could intervene, early-stage clean energy project development functioned like a fragmented, offline real estate operation. Identifying a viable plot of land for a utility-scale solar farm or an electric vehicle (EV) charging hub required navigating an extensive, disconnected maze of regional and federal data points. Developers frequently relied on upwards of a dozen disparate tools simultaneously, ranging from basic Google Earth overlays to localized geographic information systems (GIS), regional utility maps, and siloed Excel spreadsheets.
The primary operational challenges crippling legacy power development involve three independent but deeply intertwined friction points:
- Geographic and Environmental Fragmentation: Determining whether a parcel of land is physically and legally viable requires cross-referencing thousands of localized data sets. Developers must verify county-by-county zoning rules, municipal restrictions, wetlands data, soil mechanics, and the migratory patterns of protected or endangered species. Because every municipal jurisdiction interprets and enforces compliance regulations differently, entering a new county meant building a localized compliance framework from scratch.
- The Interconnection Bottleneck: Finding a clear, unimpeded physical site is irrelevant if the local electrical grid cannot support the power asset. To determine if a project can safely inject energy into the grid or pull power from it, developers traditionally had to hire specialized engineering consultants. These consultants relied on legacy grid-modeling software to run complex simulations, taking months to deliver static reports. By the time a developer reviewed the analysis and paid a substantial utility interconnection deposit, the capacity of the local substation may have already shifted, rendering the investment useless.
- The Shortage of Specialized Labor: The rapid influx of green capital has far outpaced the availability of qualified human talent. The clean energy sector faces a profound shortage of experienced power engineers, permitting analysts, environmental consultants, and GIS specialists. Because highly technical human workflows are required to manually vet every line of local utility tariff and municipal code, the human workforce has become a severe structural constraint on how quickly clean energy can scale.
This operational fragmentation results in a repetitive, highly inefficient cycle where development teams spend hundreds of thousands of dollars performing desktop due diligence on sites that ultimately get rejected due to hidden, late-stage constraints.
Deconstructing Chaos with Data
Stepping directly into this infrastructure bottleneck is James McWalter, Co-Founder and CEO of Paces. An experienced operational executive and serial founder, McWalter has spent his career navigating complex data environments and scaling early-stage machine learning technologies. He holds academic degrees in philosophy from National University of Ireland, Galway (NUIG) and the University of St. Andrews, a background that instilled a rigorous approach to deconstructing complex logic systems and structural problems.
Prior to launching Paces in 2022, McWalter established a proven track record within the technology, fitness, and financial data ecosystems. He founded Hale, a personal training marketplace, and served as the first employee at the machine learning startup Hello Vera, which was subsequently acquired by Google. Following this acquisition, he held senior product management and operational leadership roles at the B2B research marketplace Respondent and the financial data giant FactSet.
By combining his deep background in financial data with early-stage artificial intelligence implementation, McWalter recognized that the core challenges delaying the global energy transition were fundamentally data-routing and orchestration problems. Rather than viewing clean energy purely through an environmental lens, he approached the sector as an engineering and data-processing challenge that could be resolved by building an automated, centralized system of record.
The 150-Podcast Epiphany
The catalyst for Paces traces back to an organic farm in Ireland, where McWalter grew up. When he was 14, his family converted the farm to organic operations, embedding an early awareness of environmental sustainability in his mind. Though his early career pulled him into fintech and SaaS platforms, by 2019 he found himself increasingly alarmed by the slow velocity of global carbon reduction. In early 2020, he made a definitive vow to dedicate the remainder of his professional life to solving climate change.
To systematically analyze the broader climate tech ecosystem, he launched Carbotnic, which later transitioned into the Build, Repeat podcast, a series dedicated to interviewing clean energy founders, project developers, and policy experts. Through hosting over a hundred comprehensive conversations with the individuals actively funding and building physical infrastructure, McWalter noticed a recurring, highly frustrating systemic pattern. Billion-dollar institutional funds were eager to finance massive solar and energy storage portfolios, but the project developers on the ground were consistently stymied by the same elementary problem: they could not find viable land with available grid capacity.
McWalter realized that while massive innovation was occurring within hardware, such as improving photovoltaic cell efficiency and lithium-ion battery density, the software required to actually get those physical components permitted and connected to the grid was stuck in the era of paper records and fractured desktop tools. He observed that developers were spending up to $50,000 and months of manual effort simply evaluating a single plot of land, with zero guarantee of success. This glaring misalignment between capital availability and operational velocity became his personal “lightbulb moment.” He resolved to build a platform that would maximize the climate utility of every piece of land by automating the due diligence process.
Bridging Silicon Valley and Heavy Infrastructure
In early 2022, James McWalter partnered with co-founder Charles Bai to translate this vision into a scalable enterprise software architecture. Bai brought highly complementary technical expertise to the venture, having previously led large-scale AI efficiency, infrastructure, and sustainability initiatives at Meta AI, where he tracked the carbon and power footprints of massive computational models. Together, they founded Paces in Brooklyn, New York, aiming to build a definitive, automated development engine for physical power projects.
The early execution phase of Paces provides a masterclass in capital-efficient startup validation:
- Rigorous Market Discovery: Before writing a single line of proprietary software code, McWalter and Bai conducted deep-dive interviews with more than 150 project developers, utilities, and regulatory experts across the clean energy landscape.
- The Abundance Network Strategy: Leveraging a deeply collaborative approach within climate tech networks like On Deck Founders and My Climate Journey (MCJ), McWalter focused on adding outsized value to the community before initiating a formal capital raise.
- The Y Combinator Acceleration: Armed with validation from their industry deep-dives, the founders entered the prestigious Y Combinator Summer 2022 (S22) batch. This fast-tracked their early development, culminating in an initial $1.9 million seed funding round in June 2022 that enabled them to expand their technical team.
From the outset, the founders focused on bridging the cultural divide between Silicon Valley software development and legacy energy operations. They deliberately built a cross-functional team that combined elite AI engineers from organizations like Meta AI, AWS, DeepMind, NASA, and Tesla with senior power infrastructure veterans who had decades of experience directing real-world projects at TotalEnergies, Nexamp, Con Edison, and GE.
Navigating the Data Center Super-Boom
As Paces scaled its core software, the macroeconomic landscape underwent a profound shift. The introduction of the Inflation Reduction Act (IRA) unleashed an unprecedented wave of domestic clean energy funding, while simultaneously intensifying the scramble for viable land. Concurrently, the explosive rise of generative AI sparked a massive data center boom, causing corporate power demand forecasts to spike exponentially.
Rather than remaining confined strictly to community solar or regional battery storage markets, Paces rapidly expanded its platform to serve new high-growth verticals, including utility-scale wind farms, EV charging networks, and data center site selection. This strategic expansion allowed the company to capture substantial market share as hyperscale developers faced intense pressure to locate clean power sources capable of supporting massive operational loads.
This operational velocity culminated in a highly successful $11 million Series A funding round in July 2024. Led by Navitas Capital, a venture firm specializing in built-environment technology, and supported by Suffolk Technologies, MCJ Collective, and existing backers like Resolute Ventures and Soma Capital, the capital injection allowed Paces to aggressively expand its geographic footprint. The company focused heavily on scaling its proprietary data intelligence tools across the entire United States, transforming its software into an indispensable system of record for the world’s largest infrastructure developers.
The Dawn of the One-Person Energy Giant
Under McWalter’s leadership, Paces has pioneered a technological shift away from static point-solution SaaS tools toward autonomous, agentic workflows. The platform operates on the premise that power development is fundamentally a procedural but highly interdependent data problem.
The proprietary software architecture built by Paces integrates four core data capabilities into a unified geographic system of record:
- Advanced Multi-Parcel Search: Allows developers to instantly filter millions of land parcels nationwide based on custom parameters such as slope, proximity to transmission lines, and local ownership data.
- Integrated Grid Capacity Analytics: Aggregates real-time substation capacity, regional interconnection queues, and utility tariff structures to assess grid injection viability.
- The Permitting Predictor: Rapidly processes environmental data, local zoning ordinances, and historical municipal approvals using large language models to evaluate localized regulatory risk in minutes.
- Autonomous Agent Orchestration: Automates highly technical roles, such as GIS analysis, environmental consulting, and power engineering, end-to-end.
McWalter’s long-term vision is centered on the concept of the “one-person, billion-dollar power development company.” Historically, scaling an energy portfolio required expanding an internal army of specialized consultants and analysts to process paperwork. Paces reverses this paradigm. By utilizing AI agents capable of operating software tools at scale, Paces’ internal benchmarks demonstrate a massive acceleration in processing speed alongside a drastic reduction in operational costs, all while maintaining rigorous, human-grade accuracy. Every output generated by the platform includes line-referenced citations directly linked to original statutory or utility tariffs, ensuring total compliance for physical asset deployment.
Radical Candor Meets Climate Urgency
McWalter’s internal corporate philosophy balances intense operational ambition with a collaborative, transparent team environment. Drawing directly on his philosophy background, he prioritizes first-principles thinking and direct communication, establishing “directness is kindness” as a foundational cultural pillar within Paces’ Brooklyn headquarters.
The internal operations at Paces are structured around clear cultural principles designed to prevent burnout while maximizing creative execution:
- Climate First Alignment: Every engineer, data scientist, and industry veteran hired is explicitly vetted for a deep personal commitment to accelerating global carbon reduction.
- Shared Success and Rapid Adaptation: Governed by the value “Act, Learn, Adapt,” teams are encouraged to launch features early, gather immediate feedback from real-world developers, and iterate rapidly based on live field conditions.
- The “Unconference” and Cross-Pollination: To maintain high creative cohesion across diverse technical backgrounds, Paces hosts regular team-wide “unconferences.” During these sessions, employees lead peer learning seminars on non-work subjects ranging from perfect espresso extraction techniques to historical martial arts.
- A Collaborative Built Environment: The physical office culture embraces flexibility, collaborative group offsites, and an open, pet-friendly workspace designed to cultivate a warm, highly human environment amid highly technical data engineering work.
Powering the Next Industrial Epoch
Looking to the future, Paces is positioned to serve as the foundational digital layer powering the global electrification wave. As traditional electrical grids face unprecedented strain from manufacturing reshoring, EV adoption, and massive AI computation workloads, the old models of slow, sequential infrastructure planning are no longer viable.
McWalter is actively steering Paces toward enabling a new paradigm of parallel development, where site selection, environmental review, and interconnection analysis occur simultaneously rather than sequentially. This vision expanded even further with the introduction of their Fractional Development Services (FDS), combining proprietary data modeling with targeted human expertise to push delayed applications past the finish line. The company is actively collaborating with industry leaders to pioneer off-grid, behind-the-meter clean energy microgrids designed to power modern data centers without overloading municipal utility infrastructures.
By compressing the timeline required to take a project from concept to ready-to-build by up to three times, Paces is shifting from a useful data aggregator into an essential utility for global energy deployment. McWalter’s ultimate legacy will be defined not merely by the enterprise value of the software platform he has built, but by the tangible volume of steel, silicon, and renewable generation capacity his technology successfully helps place into the ground.
Editor’s Perspective: The Infrastructure Horizon
At Modern Construction 360, our coverage of the built environment frequently centers on the physical engineering feats shaping the landscape, the mega-projects, the automated machinery, and the structural innovations rewriting what is possible on the ground. Yet, the story of James McWalter and Paces serves as a critical reminder that the future of physical construction is inextricably linked to the digital architectures supporting it.
As the lines between heavy industry and advanced software continue to blur, the ability to build at scale no longer depends solely on equipment or capital. It depends on the velocity of intelligence. The transformation currently taking place within renewable infrastructure underscores a broader macroeconomic shift: tomorrow’s construction leaders will not just be masters of concrete, steel, and physical project management, but architects of the complex, data-driven ecosystems that allow those projects to exist in the first place.
