AI & Machine Learning
Strategy and hands-on development of supervised, unsupervised, and predictive models — turning your data into measurable, real-world outcomes.
scikit-learnClassificationRegression
Capabilities
Artificial Intelligence & Machine Learning
We've extended A&W's deep systems engineering heritage into modern AI — designing, training, and deploying machine learning that runs reliably in real products. From sensor data and signal chains to deployed models, we cover the full pipeline, including AI-assisted NDT ultrasound inspection.
PythonPyTorchOpenCV
PyVisionNumPyPandas
scikit-learnCUDA / GPUMLOps
End to end
Our AI & ML expertise
A complete machine learning capability — from raw data and feature engineering through model development, optimization, automation, and production integration.
Deep Learning
Neural network architectures — CNNs, RNNs/LSTMs, transformers, and custom networks — for image, signal, and sequence problems.
CNNTransformersTransfer Learning
PyTorch
Production-grade model development in PyTorch — from research prototyping to optimized, exportable models ready for deployment.
PyTorchTorchScriptONNX
Computer Vision
Image and video understanding — detection, segmentation, classification, and measurement — built with OpenCV and PyVision.
OpenCVPyVisionDetectionSegmentation
Training, Evaluation & Optimization
Robust training pipelines, rigorous evaluation metrics, hyperparameter tuning, quantization, and pruning for accurate, efficient models.
Hyperparameter TuningQuantizationMetrics
Data Preprocessing & Feature Engineering
Cleaning, labeling, augmentation, and feature design that turn raw, messy data into high-quality training sets.
PandasNumPyAugmentation
Automation using AI Pipelines
Automated, reproducible pipelines for data ingestion, training, validation, and retraining — keeping models fresh and reliable.
MLOpsCI/CDOrchestration
AI Integration into Production Systems
Deploying models into real products — embedded, edge, on-prem, or cloud — with monitoring, versioning, and the reliability our customers expect.
Edge / EmbeddedAPIsMonitoring
AI-assisted NDT Ultrasound
Industrial, non-destructive testing using ultrasound — with machine learning for defect detection and signal analysis. Learn more →
NDTUltrasoundDSP + AI
Industrial ultrasound
NDT Ultrasound Machine
Industrial ultrasound for non-destructive testing. We combine A&W's deep strengths in transducers, analog/digital signal processing, and FPGA with modern machine learning to detect, classify, and characterize defects automatically.
- AI-assisted defect detection & classification
- Signal & image analysis of A-scan, B-scan and C-scan data
- Real-time DSP & FPGA acceleration, transducer to decision
- From benchtop prototype to field-deployable system
How we work
From data to deployed model
A disciplined, system-oriented process — the same rigor we bring to medical devices, applied to AI.
Data & problem framing
Define success metrics, gather and engineer features from your data and sensor streams.
Model development
Prototype, train, and evaluate models in PyTorch — iterating quickly toward target accuracy.
Optimization
Tune, quantize, and accelerate for the target hardware — GPU, edge, or embedded.
Integration & MLOps
Deploy into production with automated pipelines, monitoring, and retraining.
Bring AI into your product
Whether it's computer vision, predictive modeling, or AI-assisted NDT ultrasound, we'll help you build it and ship it.