Logic Byte builds OptiFlow — image analytics that domain experts run themselves, without code. Research-validated methods, engineered for production reliability, applied wherever images drive decisions. From our base in Singapore, our work runs in labs and on production lines worldwide.
A domain expert’s time is their most valuable asset — yet too much of it is lost to endless iteration and optimisation of image-analysis tooling, rather than the work only they can do. Brittle scripts, one-off macros and manual steps that break the moment the sample, the instrument or the person changes.
Logic Byte turns that work into something durable. We productise image-processing and analysis workflows so they run robustly at scale, reproduce exactly, and hand over to a colleague intact — the expertise captured in the pipeline, not trapped in one person’s head. Every step is recorded in an audit trail you can export and defend. Underneath it all, the latest advances in AI and computer vision — validated on real data long before they touch yours.
Empower domain experts to extract maximum analytical value from their imaging data — with confidence and enterprise-grade reliability.
OptiFlow — the shortest path from image to value.
Today, OptiFlow lets domain experts build professional-grade workflows that remove hours of manual, image-related work. Tomorrow, it builds those workflows autonomously — eliminating that work entirely, so experts focus fully on the value only they can add.
In a university microscopy lab, one pattern kept repeating: the specialists gathering the data were world-class in their fields — cell biology, pathology, materials science, semiconductor fabrication — yet spent their hours wrestling with image processing rather than their actual work. The bottleneck was never the instrument or the data. It was the pipeline between raw image and real insight.
Founded to close that gap, drawing on years of research in autonomous microscopy, deep learning and computer vision. The premise was simple: put sophisticated, domain-aware image analytics in the hands of the domain expert — no code required — so the platform handles the pipeline and the expert focuses on the work that matters.
Logic Byte Pte. Ltd. is incorporated, and the platform is built out methodically — each capability validated against real imaging problems, from enhancement and segmentation to single-cell analysis, defect detection and label-free virtual staining (CytoByte).
OptiFlow runs in production at ETH Zürich, is in trial at NTU, and now spans three domains — biomedical & life sciences, semiconductor & industrial imaging, and bespoke work across any field. What began as a research problem is now a platform in daily use.
Our pipelines are built by people who have worked both the microscope and the fab. We understand what your images actually contain — so the analytics fit the problem, whether that is a living cell or a semiconductor die.
Every step is recorded in a tamper-evident trail you can export and defend — a chain of custody for your analysis. The same discipline serves a regulated assay and a hardware-assurance inspection alike.
OptiFlow runs entirely on your own infrastructure, air-gapped where you need it. Your data never leaves your control — a real advantage in sensitive and regulated work.
When your problem has no off-the-shelf tool, we build one — validated on your own data, then handed to your team as a workflow they own.
We go deep in two domains, and the same platform extends to any other. The fastest-moving and most consequential fields in the world — from semiconductor manufacturing to AI-driven life science — share one need: turning images into decisions a team can trust.
Single-cell and high-content analysis, digital pathology, label-free staining and imaging biomarkers.
Inspection, defect and anomaly detection, metrology and hardware assurance — from optical to electron microscopy.
New pipelines built and validated on your own images — for any domain where images drive decisions.
Doorgesh completed his PhD and postdoctoral research at NUS in computational and biomedical imaging — spanning autonomous microscope control, biosensor CNN development, in-silico (virtual) nuclear staining and large-scale single-cell analysis — resulting in more than twenty peer-reviewed publications, cited more than 1,200 times, across signal processing, deep learning and biomedical imaging.
He then moved into industry, working directly in high-precision semiconductor image analytics — where measurement accuracy, throughput and production reliability are non-negotiable. That trajectory — from fundamental research and biomedical imaging through to semiconductor production — is rare, and it is what gives OptiFlow its unusual breadth without sacrificing depth.
Seeing world-class teams held back by image-processing bottlenecks — not by their instruments, and not by their expertise — was the direct motivation for Logic Byte: to turn research-validated imaging AI into robust tools the experts can actually use.
Send us a real problem and your own data — we’ll show you exactly what OptiFlow does with it. If your workflow needs something we haven’t built yet, we’ll build it.