TensorFlow & PyTorch Development

AI Technologies

TensorFlow and PyTorch are the leading frameworks for building deep learning models. We use them to develop and train custom models for computer vision, language, forecasting and recommendations, and deploy them to the cloud, mobile devices or edge hardware.

We use deep learning when simpler methods aren't enough, and design training so it is repeatable and affordable, using pre-trained models and transfer learning wherever possible.

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What we offer

Custom model developmentArchitectures for your data and task.
Transfer learningStart from pre-trained models to save time and data.
Training at scaleGPU training on AWS, Azure or Google Cloud.
Mobile and edgeTensorFlow Lite, ONNX and optimised models.
Production servingAPIs and batch inference with monitoring.

Common use cases

Defect detection
Medical image analysis support
Demand forecasting
On-device features in mobile apps

Technology

TensorFlow
PyTorch
Keras
ONNX
TensorFlow Lite
CUDA
Python

Business benefits

Custom modelsfor problems off-the-shelf AI cannot solve
Optimised for productionquantised and exported to ONNX, TensorRT or mobile formats
Run anywherecloud, on-premise, mobile or edge devices
Reproducible trainingwith versioned data and experiments

Why work with Webtech Evolution

10+ years of delivery272+ projects for 118+ clients in 12+ countries since 2014.
One team, end to enddesign, front end, back end, mobile, QA and DevOps under one roof, so nothing gets lost between vendors.
Clear estimatesa written scope, timeline and price before work starts, and demos throughout the build.
You own everythingcode, designs and documentation are handed over in full and covered by an NDA.
Working hours that overlap with yoursMonday to Friday, 10:00–19:00 IST, with extended hours available for clients in the USA, Canada and New Zealand.

Our process

How we deliver

Discovery

agree the goal, users, data and how success will be measured.

Prototype

a working version on real examples within the first weeks.

Build and integrate

connect to your systems, add security, testing and monitoring.

Pilot

launch to a small group, measure results and improve.

Scale and support

roll out widely, with ongoing monitoring and updates.

Distinct Solutions

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FAQ

Frequently asked questions

Both are excellent. PyTorch is widely used in research and many new projects; TensorFlow has strong mobile and production tools. We choose based on your needs and existing code.

Yes. Optimised models can run on iOS and Android devices for fast, private results.

Yes, through MLOps support including monitoring and retraining.

PyTorch is the leading choice for research and most new projects; TensorFlow remains strong for some production and mobile deployments. We work with both.

Yes, with TensorFlow Lite, PyTorch Mobile, Core ML or ONNX Runtime.