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Collimated Research

Physics-grounded AI for industrial and scientific systems.

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Mission

We build AI models grounded in physics and real industrial data. Our models are tangible, explainable, and extensible because they rely on scientific equations and real measurements—not generic patterns alone. When you are building technical, precise, scientific products, do not settle for models that ignore centuries of established science.

What we work on

Discrepancy modeling

Use scientific equations for ground-truth behavior and AI for the real-world complications that theory alone does not capture.

A line plot with three lines, all representing different absoprtion signals. The pink line is far apart from the other two and represent what theory expect the absorption to be for a given set of parameters. The black line, quite distinct from the pink line, is the real measured absorption. the third, cyan line, is the absoprtion predicted by the discrepancy model, which combines theory with AI modeling techniques

Inverse design

Start from your design targets; let AI optimize across priorities and give your teams a fast, defensible starting point.

An example workflow for inverse design of multilayer optical thin films where an AI model has solved the difficult, multimodal optimization problem and provided a set of candidate designs that meet the design targets

Super resolution

Increase precision or throughput by letting AI fill in the gaps—more effective resolution where it matters for your product.

Two side by side images. The left image is a blurry, low resolution image of a 2D sinusoidal signal. The right image is a sharp, high resolution image of the same signal.

Blog

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Why physics-based AI outperforms theory (and vanilla AI) Bridging textbook theory with messy reality—and why physics-informed learning changes what is possible. Read post

Contact

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Location: Newport Beach, California