Digital Twin & Simulation Services
Digital twins for research facilities and experimental systems — built validation-first, so behavior in the virtual environment is an acceptable approximation of behavior in the physical one.
What We Build and Support
Research Facility Digital Twins
Simulation-ready models of laboratories, test facilities, vivariums, behavioral testing spaces, instrument rooms, and environmental chambers — with labeled, componentized assets researchers can tune.
Robotics & Autonomous Systems Simulation
Simulation environments for ground, aerial, and aquatic platforms: physical properties, sensors, actuators, and scenario configuration for repeatable test and evaluation.
Scan-to-Simulation Conversion
Ingestion of laser scans (E57), mesh (OBJ), and CAD into labeled, simulation-ready model components through OpenUSD/Omniverse-compatible workflows.
Experiment & Scenario Configuration
Researcher-facing tooling — scenario setup, configuration files, observation logging, and repeatable test scripts — so the twin works the way experiments actually run.
Validation Against Physical Observations
Matched physical-vs-virtual test cases with quantified discrepancies, documented model tuning, and re-tests that demonstrate improved accuracy.
Documentation, Training & Support
System specifications, code documentation, operation and maintenance manuals, user training, and technical support through acceptance.
How an Engagement Runs
Discover
Confirm the target toolchain, host constraints, scan and CAD sources, fidelity targets, and quantitative acceptance criteria.
Pilot
Build one space and one system first — proving the scan-to-simulation pipeline and the validation loop before scope expands.
Expand
Extend the validated pipeline to the full facility and platform set, with components labeled and parameters exposed for tuning.
Validate & Support
Run matched physical-vs-virtual test cases, tune to agreed metrics, deliver documentation, and support users through acceptance.
Why ConductScience?
ConductScience has supported more than 1,400 research institutions since 2013, and our instruments and software are cited in over 280 peer-reviewed publications. Digital twins are an extension of what we already do every day: modeling research environments, integrating instrument and sensor data, and validating automated systems against physically observed ground truth.
Our computer-vision platform, ConductVision, has been validated at 13 independent research sites by comparing automated output against physical observations — the same validation-first discipline we bring to simulation. The software layer of every twin is delivered by the same team behind our scientific software and data workflow services, and robotic and autonomous systems work runs through our robotics and autonomous systems simulation service. Where engagements need specialized simulation engineering — OpenUSD scene composition, platform dynamics, or ROS 2 and Isaac Sim integration pathways — we staff dedicated specialists under ConductScience program management.
Discuss a Digital Twin Project
Tell us about your facility, systems, and what you need to test — we'll respond within one business day.
See the Validation Discipline in Action
ConductVision applies the same physical-vs-virtual validation methodology to computer vision for experimental observation.
