Strategy, modeling, and operations for the built environment.
Engagements typically draw from all three groups below — starting with a readiness check, moving through modeling and integration, and continuing into operations once the asset is live.
Know where a twin pays off before you build one.
Digital Twin Advisory
Independent guidance on where a digital twin creates real value for your portfolio, project, or asset — and where it doesn't. I help set scope, budget, and success metrics before you commit to a platform.
- Twin strategy aligned to business goals
- Platform & vendor evaluation
- Roadmap with staged investment points
DT Readiness Assessment
A structured audit of your data, systems, and organizational readiness, scored against what a working digital twin actually requires. You get a clear gap list, not just a maturity score.
- Data & systems inventory
- Gap analysis against twin requirements
- Prioritized remediation plan
A model that stays true to the asset.
Digital Twin Modeling
I build the twin itself: a synchronized digital representation of geometry, systems, and behavior, kept accurate as the asset changes rather than drifting out of date after handover.
- BIM-integrated 3D + systems model
- Update workflow tied to field changes
- Scoped to real decision needs
Digital Design
Design and visualization support for teams using the twin as a design environment — testing layout, systems routing, and sequencing before anything is built.
- Design-stage simulation & walkthroughs
- Systems routing & clash review
- Stakeholder-ready visualization
BIM Integration
I connect BIM authoring tools, federated models, and the twin platform so geometry and metadata move in one direction without manual re-entry or version drift.
- Federated model coordination
- Automated data pipelines between tools
- Version control across disciplines
The twin keeps working after handover.
Facility & IoT Monitoring
Sensors and building systems feed the twin in real time, turning a static model into a live instrument panel for the people who run the building day to day.
- Sensor & BMS integration
- Live dashboards for facility teams
- Alerting tuned to real thresholds
Lifecycle Simulation
I model how the asset performs over years, not just at handover — energy, wear, and capital planning scenarios run against the twin before you commit budget.
- Scenario modeling across asset lifespan
- Capital planning input
- Energy & performance forecasting
Predictive Maintenance
The twin learns normal behavior for critical systems and flags early signs of failure, so maintenance happens on a schedule you set instead of one equipment picks for you.
- Failure-pattern detection
- Maintenance scheduling on real condition
- Reduced unplanned downtime