What we use TensorFlow for
TensorFlow is what we use when a problem needs a trained model rather than a prompt — classification, forecasting and recommendation on your own data.
It earns its place in 1 of our 6 delivery lines:
- AI Integrations — AI chatbots, WhatsApp bots, automation workflows, and ML integrations for smarter business processes.
How we decide whether to use it
The same three questions every time: does it solve the actual problem, can the client’s team live with it after we leave, and does it survive the traffic and the budget you really have. If TensorFlow fails any of those for your project, we will say so and propose something else — the stack exists to serve the outcome, not the other way round.
Wondering whether TensorFlow is right for what you are building? Describe the project and we will tell you honestly.