OptiFlow is a domain-aware image-analytics platform — backed by a team that builds what the catalogue doesn’t. Bring an image-based problem from any field: we scope it, build and validate the pipeline on your own data, and hand it back as an auditable workflow you own and run. No code, 100% local — from a single frame to an entire archive.
Every field has images holding answers no generic tool was built to extract — a modality it never anticipated, a sample it can’t handle, a decision it can’t defend. The usual fallbacks are a black box you can’t audit or a script that dies the day its author leaves. Neither is a capability.
A novel instrument, an unusual sample, a new contrast mechanism or acquisition protocol — off-the-shelf software was never designed for it, and forcing your work through a generic pipeline quietly costs you accuracy you can’t see.
Regulated submissions, quality-critical inspection and reproducible science need every step documented and traceable. A result you can’t reproduce — or explain — is a result you can’t stand behind.
The imaging knowledge is yours. Turning it into a production-grade, maintainable pipeline is a different discipline — and a pipeline that lives in one person’s head isn’t a capability, it’s a risk.
Logic Byte’s roots are in biomedical and semiconductor imaging — but the underlying capability is modality-agnostic. Wherever an image holds a measurement, a defect, a change or a decision, OptiFlow applies. A sample of where we add value:
That’s our favourite kind of problem. If it involves extracting value from images, it’s very likely a fit — we build for new domains regularly, and build new modules when none exist.
Custom work at Logic Byte is co-development, not a black-box handoff. We work in your domain and your terms, engineer the method alongside your experts — from first principles where nothing off-the-shelf applies — and prove it on your own data before anything ships. What you receive is production-grade and yours to keep.
We start with your problem and your images — the modality, the decision, the constraints. No brief required, no commitment to begin.
We design the method with your experts, adapting existing OptiFlow modules where they fit and building new ones where the imaging physics or analysis demands it.
We benchmark on your own data, not a demo set — with documented performance against the success criteria we agreed up front.
Delivered as a deployable, auditable OptiFlow workflow — on your infrastructure, at your scale, with the method recorded and portable.
Compose the exact pipeline your problem needs from a deep library of operations that travel across fields — and when the operation you need isn’t there, we build it. Preview any of them on your own images, then license only what your work demands.
Denoising that is classical, AI-guided and hybrid — NLM, bilateral, wavelet, total-variation, BM3D and anisotropic diffusion. Illumination and contrast correction, CLAHE, destriping and ring-artefact removal, and frequency-domain (FFT notch and bandpass) filtering for clean, comparable inputs.
Otsu, multi-Otsu and adaptive thresholding; morphology and connected-component labelling with per-object statistics; ridge and line filters for cracks, fibres, vessels and filaments. Calibrated area, distance and interactive line-intensity profiles — read straight from your metadata.
Supervised deep learning for object-level classification, grading or categorisation — trained on your own annotated images, so the model learns your problem rather than approximating it.
Unsupervised anomaly detection that needs no defect library — ideal for novel failure modes and new modalities. Plus phase-correlation alignment and two-image difference for precise before/after change detection.
Per-object and population statistics, enumeration and texture analysis with batch processing built in — then plotting (histogram, scatter, box-plot, violin, CDF) and automatic export to Excel for the numbers behind every image.
Low-latency inference for live-stream processing, plus live monitoring with action triggers — pause acquisition and notify the moment a condition is met — deployable even where the computational footprint is constrained.
Channel and colour operations, lookup tables, geometry and alignment, type conversion, and pixel-wise image maths and compositing — the connective tissue that lets any workflow fit together exactly as your problem requires.
Modular by design — start with what today’s work needs and add modules as the problem grows, every one running locally on your own machines. See the full OptiFlow platform.
Modern image analysis is too complex to write into a methods section — and in bespoke work, the method is the deliverable. OptiFlow records it for you, so every result is reproducible, every method is portable and submittable as-is, and your data never leaves your control.
The complete pipeline — every operation, parameter, calibration and operator — is written into the image itself, encrypted and readable only inside OptiFlow. An encrypted, rollback-resistant timestamp guards the record; where it matters, lock it to a password only your team holds.
Export the complete pipeline as a standalone file — to attach to a submission, hand to a partner, or archive against a result. Anyone you give it to can reproduce the exact analysis, down to the parameter.
Processing reads and writes your own filesystem directly. No image data crosses the network — no cloud account, no exceptions — so sensitive imagery and unpublished results stay exactly where they belong.
Every result already contains the workflow that made it — so revisiting your own analysis, handing it to a partner, satisfying an auditor, or re-running across an archive needs nothing rebuilt and nothing re-documented.
Logic Byte builds first-of-kind imaging tools — methods that didn’t exist until the work demanded them. The techniques underneath — unsupervised anomaly detection, learned reconstruction, image-based classification — are domain-independent, grounded in peer-reviewed research and already running in production.
No rip-and-replace, no leap of faith. Prove the value on your own images first, then grow — from a single delivered pipeline to a platform woven into your operations.
A clear brief, fixed deliverables, a defined timeline. We take one challenge — a segmentation model, a pipeline for an assay or inspection line, a proof of concept for a new modality — and deliver it validated, documented and ready to run. We adapt existing modules where they fit and build new ones where they don’t.
For teams building analytical capability over time — iterating as the work evolves, adding modules as new questions emerge, integrating with your data and instruments. Logic Byte acts as an extension of your team: in the room, deep in your domain, co-developing rather than just delivering.
Extend or reconfigure the platform for a domain, instrument or workflow beyond the standard verticals. Where modules can be adapted, we adapt them; where the imaging physics or analysis demands something new, we build the module and integrate it — the full power of OptiFlow’s architecture, purpose-fit to your environment.
Send an image-based problem from any field, with your own data — we’ll show you exactly what OptiFlow does with it, and scope how we’d build the rest.