About Nyrox

Seven years of AI for the real floor.

Nyrox specialises in AI solutions for industrial and commercial applications · deploying cutting-edge, unique systems across retail, warehouse and manufacturing. We turn even the most complex requirements into AI-powered solutions, combining innovation with cost effectiveness.

Approach

Real-time data, on-premise or cloud.

Our technology is built from AI components that enable real-time data processing. We deploy cost-effective hardware · industrial cameras and edge computing devices - connected via Ethernet, wireless or USB. Processing runs on-premises for low-latency needs or in Azure when network speed allows.

Domains of expertise
Machine LearningDeep LearningNatural Language ProcessingComputer VisionPredictive AnalyticsGenerative AISpeech RecognitionRecommendation SystemsSupply ChainFraud PreventionEducationRetailManufacturingPersonalised Medicine
Underlying Technology

Neural networks, tailored per solution.

We employ different types of neural networks based on the needs of each solution · ResNet50, ResNet100, YOLO and others · and combine models within the same infrastructure when needed. Two components run in parallel for every deployment:

Execution Process

Runs the neural network for real-time analysis of incoming images against the active solution.

Data Preparation

Processes and refines data for machine learning, leveraging real-world accumulated data to keep model performance improving.

Convolutional Neural Networks on Azure

Azure ML
Scalable training & deployment of CNN models
Azure Cognitive Services
Image recognition, object & facial detection APIs
Custom Vision
Build & deploy image classification models
Azure Video Indexer
Extract insights from video with CNNs
GPU VMs
Accelerated model training
Azure Kubernetes
Deploy CNN models at scale, containerised
Model Pipeline

From dataset to deployed device.

  1. STEP 01

    Use Azure Data Factory for data cleaning and transformation.

  2. STEP 02

    Store datasets in Azure Blob Storage.

  3. STEP 03

    Build models with Azure ML Studio or Jupyter Notebooks.

  4. STEP 04

    Support TensorFlow, PyTorch and Keras.

  5. STEP 05

    Scale with Azure ML Compute (GPU VMs) for efficient training.

  6. STEP 06

    Tune with Azure ML HyperDrive for hyperparameters.

  7. STEP 07

    Evaluate with built-in tools and TensorBoard.

  8. STEP 08

    Monitor metrics with Azure ML Metrics.

  9. STEP 09

    Deploy automatically to device with our delivery system.

Ready to get started

Discover a new era of Artificial Intelligence.

No forms, no funnels. Reach the Nyrox team directly by email or phone and we will walk you through what your cameras can see.

NYROX-CV-4.1 · CHANNEL OPEN