About TruBuild
TruBuild exists for enterprise teams that evaluate complex tenders under pressure, with too many documents, too many stakeholders, and too much risk hidden in disconnected review trails.
What we build
We connect technical evaluation, commercial intelligence, contract control, tender queries management, cost analysis, and vendor database intelligence so every recommendation can be traced back to the sources and decisions that shaped it.
The goal is not to replace expert judgment. The goal is to give expert judgment a stronger operating system, with evidence, ownership, and audit history preserved from intake to award.
Leadership
TruBuild’s founding team combines first-hand mega-project delivery, applied machine learning, and enterprise commercial leadership to make tender decisions faster, clearer, and easier to defend.
Construction tech leader with 15+ years delivering $34B+ projects across six continents. Former senior executive at Atkins, Gleeds, and Ramboll, driving digital transformation in infrastructure and mega-projects. At TruBuild, he leads strategy, fundraising, and partnerships, combining first-hand construction expertise with proven leadership to scale AI adoption in global procurement.
AI/ML specialist with over a decade of experience applying machine learning to complex, high-governance domains. Former Fulbright Scholar at Duke University and Assistant Professor at King Abdulaziz University, with extensive research in computational modelling and AI-driven design.
Commercial leader with a strong background in digital transformation, project management, and cost consultancy across the real estate and infrastructure sectors. As Chief Commercial Officer at TruBuild, he oversees commercial strategy and partnerships, driving the company’s growth and innovation in construction technology.
Former VP at Procore, bringing operational insight from scaling leading construction software.
Principles
Scores and recommendations should point back to the documents, clauses, rates, and reviewer logic behind them.
AI can structure and surface information, but decision owners need clear control over what is approved.
Every tender should improve the next one through better vendor intelligence, reusable criteria, and captured lessons.
