Nexora Labs

Software · Deep Learning · AI Agents

From bold ideas
to launched products.

Nexora Labs is an Australian software studio building cross-platform apps, deep learning solutions, and AI agents — end to end, from first prototype to production.

Start a projectSee our work

What we do

Three practice areas, one engineering standard.

App & Software Development

Cross-platform mobile and desktop apps built with Flutter — one codebase with a native feel, shipped to the App Store and Google Play. We also build the backends, APIs, and admin tools behind them.

Deep Learning Solutions

Applied machine learning for documents, images, and data. We take models from paper to production — like our watermark removal pipeline below.

AI Agent Development

Task-focused agents built on modern LLM APIs: retrieval, tool calling, and multi-step automation — with guardrails and evaluation, not just prompts.

Case study

Watermark removal, text intact.

A deep learning pipeline that removes repeated watermarks from scanned documents while preserving text clarity — no blur, no artifacts, no retyping.

PROJECT BRIEF — Q3 ENGINEERING REVIEW 12 August 2026 1. Overview The proposed pipeline processes scanned pages in batches of 32, applying a learned mask to isolate repeated overlay artifacts before reconstruction. Text regions are detected first, so glyph edges are preserved while the overlay is separated from the page background and removed in a single forward pass. 2. Method A dual-branch encoder shares features between artifact detection and background reconstruction. The decoder is trained with an edge-aware loss that penalises any softening of character strokes, which keeps small type legible after restoration. 3. Results Metric Before After PSNR (dB) 24.1 38.7 SSIM 0.83 0.98 OCR accuracy 91.2% 99.6% Nexora Labs — internal draft · page 1 of 3
PROJECT BRIEF — Q3 ENGINEERING REVIEW 12 August 2026 1. Overview The proposed pipeline processes scanned pages in batches of 32, applying a learned mask to isolate repeated overlay artifacts before reconstruction. Text regions are detected first, so glyph edges are preserved while the overlay is separated from the page background and removed in a single forward pass. 2. Method A dual-branch encoder shares features between artifact detection and background reconstruction. The decoder is trained with an edge-aware loss that penalises any softening of character strokes, which keeps small type legible after restoration. 3. Results Metric Before After PSNR (dB) 24.1 38.7 SSIM 0.83 0.98 OCR accuracy 91.2% 99.6% Nexora Labs — internal draft · page 1 of 3 CONFIDENTIAL
Before
After
Text clarity preservedBatch processingWorks on scans & PDFs

Drag the slider to compare. Synthetic sample document for demonstration.

About Nexora Labs

Nexora Labs is an independent software and AI studio based in Australia. We work with founders and small teams who need production-grade software without agency overhead — one senior point of contact from kickoff to launch.

The name comes from nexus — the point where things connect. Good products are built at intersections: design and engineering, models and interfaces, ideas and execution. Working at that nexus is the job.

Based in Australia · Remote-friendly ·contact@nexoralabs.com.au

How we work

A predictable path from brief to production.

  1. 1

    Discover

    Scoping call, requirements, and a fixed written proposal.

  2. 2

    Design

    Wireframes, architecture, and model selection before any code.

  3. 3

    Build

    Short iterations with demo builds you can try each week.

  4. 4

    Deploy

    Store releases, cloud infrastructure, and handover docs.

  5. 5

    Support

    Maintenance, monitoring, and model retraining as needed.

Tools we build with

FlFlutter
DaDart
PyPython
PtPyTorch
AILLM APIs
ClCloud

Have a project in mind?

Tell us what you're building — we usually reply within one business day.

contact@nexoralabs.com.au

Nexora Labs · Australia