We are a Chicago‑based building science and computational design practice helping architects, developers, and owners make confident, data‑backed decisions—from early massing to façade systems and material prototypes. Our work blends simulation, parametric engineering, and hands‑on prototyping to deliver measurable performance and distinctive architecture.
Architecture Research Technology Studio Ltd. is an R&D partner to design teams seeking clarity on performance, cost, and constructability. Based in Chicago, we combine advanced simulation with parametric tooling to uncover the best design moves early, when they matter most.
Our studio operates at the intersection of analysis and craft: we run energy and daylight models, develop custom computational workflows, and then validate ideas by building physical and digital prototypes in our materials lab.
We routinely collaborate with architects, engineers, and developers on new‑build, retrofit, and adaptive reuse projects across climates in the U.S. and abroad. The outcome is architecture that performs better, looks better, and is easier to deliver.
We are intentionally small: senior experts stay on the project from kickoff to handover, ensuring continuity and speed.
We create calibrated EnergyPlus and Radiance models to evaluate massing, envelope, HVAC strategies, and daylight quality from concept through DD. Results are translated into clear decision matrices—not just color maps. Our studies typically identify 12–25% energy savings and pathways to code and LEED compliance without compromising design intent.
We build parametric systems that tie performance, cost, and manufacturing rules into a single model. This lets us rapidly compare hundreds of façade options—shading depth, panelization logic, materials—and hand off geometry that is fabrication‑ready. The output reduces RFIs and shortens shop‑drawing cycles.
Ideas are tested in our lab using CNC, 3D printing, and sensor‑based mock‑ups. We verify assembly tolerances, glare control, and thermal behavior with real measurements. That feedback flows straight back into the computational model to de‑risk choices before they reach the job site.
Every recommendation is tied to a metric—kBtu, W/m², daylight autonomy, or cost/ft²—so you can defend choices with confidence to stakeholders and reviewers.
We automate the busywork and keep principals in the loop. Expect tight feedback cycles and deliverables that slot directly into your design process.
We document assumptions and share models. Your team keeps the knowledge—not a black box—and your data stays within clearly defined boundaries.
We align on drivers—comfort, energy, daylight, constructability—and set measurable targets. Inputs are organized in a one‑page brief so stakeholders agree on what “good” looks like.
We run calibrated simulations and, when useful, build a quick physical or AR mock‑up. This exposes trade‑offs fast and narrows the field to the most viable options.
We deliver decision memos, BIM‑ready geometry, and a clear path to compliance. We stay available for reviews and value‑engineering discussions through DD and CD.
On climate‑exposed projects we map glare, solar gain, and mean radiant temperature against envelope options. A custom solver searches thousands of combinations—glass types, shading vectors, and ventilation logics—while enforcing cost and buildability rules. The result is a short list of envelope schemes that hit comfort and energy goals with clear cost deltas.
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