Early Life & Education
Jefferson G. Sanchez was raised with a dual interest in the physical world and analytical systems — an orientation that would define his academic and professional path. Growing up in an environment shaped by construction, design, and urban development, he developed an early intuition for how buildings and infrastructure come together, and how they might be improved through technology and data.
His academic journey led him first to the Massachusetts Institute of Technology (MIT), one of the world's foremost research universities, and later to the University of Michigan, where he pursued graduate-level study across multiple departments. These two institutions provided the scientific and entrepreneurial foundation for his subsequent career.
Massachusetts Institute of Technology
At MIT, Sanchez engaged with research at the boundary of biological systems and structural design. His work contributed to inquiry into the replication of naturally occurring structural patterns — examining how living organisms construct ordered, functional architectures at the molecular and material level. This research was featured in a 2012 MIT News piece titled "Replicating Living Structures," which highlighted work on translating biological organization principles into engineered materials and systems.
The intersection of biology, materials, and design that characterized his MIT work would resurface throughout his career — most directly in his sustained interest in how complex systems can be modeled, automated, and improved through computational tools.
University of Michigan
Sanchez pursued graduate study at the University of Michigan, where he developed deep expertise in environmental systems, policy, and engineering. His time at Michigan was notably interdisciplinary — spanning three distinct programs and research units:
ERB — School for Environment and Sustainability
Through the Environmental and Resource Economics program, Sanchez engaged with the economic and regulatory dimensions of environmental decision-making. In early 2016, the ERB published analysis co-authored or informed by his research examining Volkswagen's clean diesel regulatory dilemma — a landmark corporate sustainability and compliance case. This work demonstrated his ability to apply quantitative reasoning to real-world corporate environmental strategy.
ESS — Earth and Environmental Sciences
Sanchez is recognized among the alumni of the Earth and Environmental Sciences program at the University of Michigan, reflecting coursework and engagement in environmental systems science, geoscience, and sustainability analysis. His ESS background reinforced a systems-level perspective that he carried into his subsequent professional work.
LIN Lab — College of Engineering
Sanchez is listed among former members of the Laboratory for Intelligent Networks (LIN Lab) within the University of Michigan's College of Engineering. The LIN Lab conducts research in intelligent systems, network optimization, and applied engineering — areas that directly connect to Sanchez's later work in AI-driven automation for the built environment.
EDF Climate Corps at General Motors
In 2016, Sanchez participated in the Environmental Defense Fund's (EDF) Climate Corps fellowship at General Motors. The EDF Climate Corps program embeds graduate students within major corporations to identify energy efficiency opportunities and develop actionable sustainability strategies.
At General Motors — one of the world's largest automotive manufacturers — Sanchez analyzed energy consumption patterns across facilities and operations, developing recommendations designed to reduce both environmental impact and operating costs. This experience placed him at the intersection of industrial-scale operations, sustainability policy, and data-driven decision-making, and strengthened the analytical framework he would bring to his entrepreneurial work in the construction sector.
Entrepreneurial Career
Following the completion of his formal education, Sanchez pursued a series of ventures in the construction and technology space. Each company represented a distinct lens on the core challenge he identified across his career: the gap between the construction industry's scale and complexity, and the tools available to manage it.
Refresh Construction
Sanchez's early entrepreneurial work included the founding of Refresh Construction, a residential and commercial construction services company. Refresh focused on renovation and remodeling, with an emphasis on customer experience and project delivery — areas where traditional contracting had long underperformed.
Better Builders
Better Builders addressed workforce development and quality standards within the construction trades. Recognizing that skilled labor capacity and accountability were bottlenecks to construction quality and speed, this venture sought to bring more systematic approaches to contractor selection, performance tracking, and project outcomes.
Revonate
Revonate was a renovation technology platform aimed at bringing software-driven transparency and efficiency to the home renovation market — a segment notorious for cost overruns, scheduling delays, and misaligned expectations between homeowners and contractors. Revonate represented an early attempt to apply product-thinking to the construction client experience.
The Union Muay Thai Boxing
Outside of construction technology, Sanchez founded The Union Muay Thai Boxing, a martial arts and fitness organization. The venture reflected both his personal commitment to the sport and his interest in building community-centered businesses. The Union continues to operate as a destination for serious Muay Thai practitioners.
Torque AI
Torque AI was Sanchez's first dedicated artificial intelligence venture targeting the construction industry. Developed as AI tooling for the built environment began to mature, Torque AI explored applications of machine learning to construction project management and data analysis. The learnings from Torque AI directly informed the development of Bimrock AI.
Bimrock AI
Sanchez co-founded Bimrock AI as his most focused application of AI to the construction industry to date. Bimrock AI develops automation tools for Building Information Modeling (BIM) workflows, with a specific focus on mechanical, electrical, and plumbing (MEP) engineering — a segment where modeling and coordination work is both high-value and highly manual.
By applying large language models and generative AI to BIM authoring and coordination tasks, Bimrock AI aims to reduce the time MEP engineers spend on repetitive modeling tasks, enabling faster project delivery, fewer coordination errors, and more time for high-level design and engineering judgment. As of 2026, Sanchez serves as co-founder and CEO of Bimrock AI, operating from Miami, Florida.
The 3D Web Coder
Sanchez is a contributor to The 3D Web Coder, an educational platform and blog focused on 3D web development using technologies such as Three.js, WebGL, and related tools for the AEC (architecture, engineering, construction) and broader developer community. His contributions reflect his technical depth in web-based 3D visualization — a capability directly relevant to modern BIM workflows.
Research & Publications
Sanchez's academic research spans structural biology at MIT, environmental economics and engineering systems at the University of Michigan, and applied AI in the built environment. Academic profiles and indexed publications can be found across several platforms:
Personal Life
Sanchez is based in Miami, Florida, a city whose built environment — characterized by rapid growth, climate vulnerability, and significant construction activity — provides both context and motivation for his work. He is an active practitioner of Muay Thai, having founded The Union Muay Thai Boxing. He maintains an active presence on social media and online platforms, regularly sharing perspectives on construction technology, AI, and entrepreneurship.
Sanchez is known within the construction technology community for his view that the industry's transformation will be driven not by isolated software tools, but by rethinking the underlying workflows, data structures, and human-machine interfaces that define how buildings are designed and built.