Production-ready ML
Trusted for training and deploying machine learning models.
AI & Data Science
TensorFlow
Machine learning tools for training and serving models.
TensorFlow
TensorFlow supports machine learning development from experimentation through deployment. We begin with the business decision, available data, measurable success criteria, and a responsible operating plan.
Useful when a validated machine learning use case needs repeatable training, model serving, or deployment across supported environments.
Planning your implementation
A technology choice is a delivery decision.
We plan the work needed to build, operate and improve the application, not just the first set of features.
- 01
Review the requirements
We examine data rights and quality, baseline performance, model evaluation, infrastructure needs, explainability, and operational risk.
- 02
Validate the important assumptions
Use a focused prototype or a representative workflow where a technical uncertainty could affect scope. Agree the acceptance checks before building the full solution.
- 03
Plan the handover
Data and model versions, evaluation results, serving configuration, monitoring thresholds, and retraining responsibilities.
Why TensorFlow
Why we use TensorFlow.
Where TensorFlow adds the most value in the projects we deliver.
Runs anywhere
Servers, browsers and mobile devices.
Rich tools
Visualisation, serving and model optimisation.
Large community
Extensive models, tutorials and support.
Questions
Common questions.
Quick answers to what people often ask us about TensorFlow.
Do we need machine learning or generative AI?
It depends on the problem. Predictions from your own data often suit ML; working with text and knowledge suits generative AI. We help you choose.
Do we need a lot of data?
It depends on the task. We review your data first and recommend a practical approach.
AI & Data Science
All technologiesRelated technologies
Let’s talk
Planning a project with TensorFlow?
Tell us what you want to achieve and the right team will get back to you with practical next steps.