Case Studies

AI-assisted optics you can ship

A snapshot of how we pair wave/ray optics with modern AI to design manufacturable systems for comms, imaging, and sensing.

Laser Satellite Communications (SATCOM)

LasercomRL-guidedSWaP-C aware

Lasers can provide ~10× the bandwidth of legacy SATCOM. Designing and operating these terminals under jitter, atmospheric effects, and power constraints benefits from Reinforcement Learning. We co-design terminal optics and control policies to hit link-budget targets with manufacturable assemblies.

Mission constraints: link margin, pointing jitter, thermal drift, and cost bands
AI explores feasible families; experts lock tolerances and suppliers
Output: build-ready designs plus control policies for acquisition, tracking, and pointing

Ray-path diagram for laser SATCOM optics — Conceptual ray layout for a multi-channel lasercom terminal.

Zoom Lenses

Variable focalTolerance-awareUnmanned systems

Using AI to solve difficult design problems for zoom lenses—balancing MTF across fields, total track length, element count, and manufacturability—potentially supporting unmanned systems and mobile robotics.

Zoom lens optical diagram — AI-guided optimization of a multi-element zoom system.

Multi-Spectral Sensing (NIR/SWIR)

NIR/SWIRHybrid/diffractiveCost-aware

Co-designed optics and AI algorithms for NIR/SWIR tasks, such as remote and low-cost chemical and biomedical sensing. Search spaces include hybrid refractive-diffractive options, with material availability and BoM costs considered from the start.

Multi-spectral optical system diagram — Hybrid refractive–diffractive concepts for SWIR/NIR sensing.