About Us
Eolus.ai was founded to give capital project teams something they’ve never truly had: an accurate, transparent financial picture from day one. Traditional early budgets rely on fragments—past projects, partial drawings, rule-of-thumb metrics—and those blind spots ripple through design, procurement, and delivery.
Eolus replaces that uncertainty with dynamic, scope-specific cost intelligence generated long before formal documents exist.
Budgeting to Build Better
What began as an early-budgeting engine now serves as an integrated platform for capital planning, value engineering, scope validation, and downstream estimating. Eolus unifies cost logic, quantities, and scenario modeling into a single environment, allowing teams to test options instantly, align stakeholders, and eliminate rework before it begins.
By anchoring decisions in transparent data rather than assumptions, Eolus.ai helps owners, developers, and project partners move faster, spend smarter, and deliver with confidence—from initial concept through final investment.
Chris Nugent
Chris Nugent founded Eolus.ai after years of watching major capital decisions hinge on incomplete cost information. His background spans two decades in conceptual budgeting, portfolio cost strategy, and early-phase advisory for complex commercial and institutional projects. That experience shaped his belief that the earliest moments of a project—when information is most limited—are when leadership needs the clearest financial signal.
At Eolus, Chris focuses on product direction and client alignment, ensuring the platform reflects the real workflows of owners, developers, designers, and builders. He brings a strategist’s eye to how cost, scope, and design intent can live in a single, evolving model rather than scattered spreadsheets. His work centers on turning preliminary inputs—program narratives, massing studies, planning assumptions—into finance-ready cost models that help teams make decisions with speed and certainty.
Wesley Ruiz
Wesley Ruiz brings more than eighteen years of technical depth in MEP estimating, system analysis, and pre-construction consulting across sectors ranging from healthcare and labs to infrastructure, commercial, and cultural work. He has built a career on translating complex building systems into clear, reliable cost intelligence for project stakeholders.
At Eolus.ai, Wesley leads MEP strategy and model fidelity, ensuring mechanical, electrical, and plumbing systems are represented with the granularity required for real-world decision-making. He focuses on strengthening how the platform interprets early inputs—equipment loads, performance criteria, design intent—and converts them into cost outcomes that hold up through design and procurement.
