Summary
Circle Optics’ design reduces pixel overlap, which in turn saves computational effort. Krauthamer breaks it down: “Less overlap means less redundant data, and less data overall means less pixels to process, and faster algorithms. It’s more efficient from start to finish.”
Circle Optics is known for hardware that eliminates stitching. But hardware alone cannot deliver situational intelligence. For immersive systems to be useful, they must not only capture reality but render it faithfully and responsively. This means translating photons into data, and data into experiences—with color accuracy, clarity, and computational speed.
In this installment of Stitchless: Circle Optics in Focus, Software Engineer Grace Annese and Computer Engineer David Krauthamer share how the interplay of science, art, and computation brings panoramic vision to life.
Grace Annese: The Art and Science of Visual Fidelity
For Grace Annese, imaging science is where mathematics, physics, and creativity converge. With early interests in filmmaking and a talent for math and science, she found a natural fit in image processing. “It’s exciting to actually work on cameras and be there from beginning to end,” she reflects.
At Circle Optics, Annese focuses on visual fidelity—ensuring that images are not only aesthetically pleasing but also represent ground truth. “Visual fidelity means accurate data,” she explains. “It’s about trust—knowing that what you see is what is actually there.”
Her work leverages the company’s low-parallax design, which minimizes the discrepancies found in stitched systems. “When overlap is reduced, we avoid blurring and cut-offs. That means the data we deliver is more truthful, and that truthfulness can be applied across countless use cases.”
David Krauthamer: Computation at Speed
Where Annese is drawn to the art and physics of images, David Krauthamer approaches the problem from pure computation. “Image processing is a massively parallel problem,” he says. “That’s a huge part of what makes it so fun—It’s incredibly satisfying to see order of magnitude increases in speed from the right algorithmic changes.”
His mantra is simple: make the thing go fast. By optimizing algorithms to run efficiently across GPUs and multi-core systems, Krauthamer ensures Circle Optics’ imaging feels instantaneous. This matters most in real-time applications like training, defense, and simulation.
He imagines a future where training footage can be captured and rendered in virtual reality. “You could record someone operating equipment and later have a trainee put on a headset and practice without any risk of injury. This exact technology is something I would have loved to have in college when training my peers on how to operate the equipment in the on-campus maker space.”
A Shared Breakthrough: From Flat Screens to Immersion
When asked about a moment where their work paid off, both Annese and Krauthamer point to the same breakthrough: rendering Circle Optics’ 3D data in virtual reality.
“For so long, we worked in 2D on flat screens,” Annese recalls. “Seeing it in a VR headset for the first time was incredible.”
Krauthamer was so inspired he bought a headset of his own. “Being able to look in any direction and have something actually be there—it’s a completely different experience.”
This leap from flat to immersive visualization demonstrated the promise of Circle Optics’ approach. Not only could the system capture reality, it could place people inside it.
Annese emphasizes that most people underestimate the complexity of imaging. “With smartphones, you just press a button and get an image. But in truth, there’s a whole chain—from photons entering the lens, to sensors, to processing, to rendering. Every step matters if you want accuracy.”
For Circle Optics, that chain is streamlined by low-parallax design. Less overlap means less wasted data, which simplifies processing. “We’re not wasting pixels showing the same thing twice,” Krauthamer explains. “That means less math, faster processing, and a cleaner result.”
By reducing both redundancy and error, the system delivers fidelity and speed.
Both engineers highlight the consequences of poor imaging. For Krauthamer, it’s about storytelling: “If what you’re showing doesn’t look good, the message is lost. The whole point of immersive imaging is to convey an experience—and bad fidelity breaks that connection.”
Annese sees it in terms of distraction. “In immersive environments, artifacts stand out. A stitching error or a dead pixel pulls you out of the experience completely. Instead of being transported, you’re reminded that it’s artificial.”
In critical environments—from training soldiers to simulating aerospace missions—such artifacts aren’t just distracting. They can erode confidence in the system itself.
Saving Time, Data, and Trust
Circle Optics’ design reduces pixel overlap, which in turn saves computational effort. Krauthamer breaks it down: “Less overlap means less redundant data, and less data overall means less pixels to process, and faster algorithms. It’s more efficient from start to finish.”
Annese adds that it’s not just about efficiency; it’s about accuracy. “Bigger overlaps create discrepancies. Smaller overlaps mean less disagreement between data streams, and that means fewer artifacts. It’s both faster and truer.”
This dual gain—speed and fidelity—embodies Circle Optics’ philosophy: every choice in design serves the ultimate goal of trust.
Both engineers admit that working in imaging changes how they see the world. Concert screens, VR arenas, even casual smartphone footage—all reveal themselves as layers of processing.
“You start noticing artifacts everywhere,” Annese laughs. “It can be distracting, but it also deepens your appreciation for how much work goes into making an experience seamless.”
Krauthamer adds: “The fun part is bringing that awareness back into the job—figuring out how we can fix or improve the systems we work on.”
Ultimately, Annese and Krauthamer return to the human impact of their work. Their expertise in color science and computation isn’t just about algorithms. It’s about enabling people to trust what they see, whether they’re training in a safe environment, navigating a mission, or simply seeking immersion.
As Annese puts it: “We’re not just rendering pixels. We’re rendering reality.”
Circle Optics’ software team is redefining what imaging can do. By blending artistry with computation, Grace Annese and David Krauthamer are proving that fidelity and speed are inseparable from trust.
Their work ensures that immersive experiences are not only beautiful but truthful. That situational intelligence can be delivered instantly, reliably, and without compromise.
In a world where clarity is essential, their contributions illuminate the path forward: a future where reality is rendered with precision, connection, and trust.
Circle Optics’ Stitchless Series Featuring Software Team
You can access the whole series anywhere you get your podcasts including Spotify, Apple Podcasts, IHeart Radio, YouTube.
Segment 1: A Future Designed by Trust: The Software Behind Stitchless Imaging
Segment 2: Precision Meets Perception: Stitchless Software at Circle Optics
